A154609 / ICCV2021-Papers-with-Code-Demo

ICCV 2021 paper with code

ICCV2021-Papers-with-Code-Demo

☪️论文下载：

密码：aicv

CVPR 2021整理：https://github.com/DWCTOD/CVPR2021-Papers-with-Code-Demo

论文下载：https://pan.baidu.com/share/init?surl=gjfUQlPf73MCk4vM8VbzoA

密码：aicv

🌟 ICCV 2021持续更新最新论文/paper和相应的开源代码/code！

🚗 ICCV 2021 收录列表：https://docs.google.com/spreadsheets/u/1/d/e/2PACX-1vRfaTmsNweuaA0Gjyu58H_Cx56pGwFhcTYII0u1pg0U7MbhlgY0R6Y-BbK3xFhAiwGZ26u3TAtN5MnS/pubhtml

🚗 官网链接：http://iccv2021.thecvf.com/home

⏲️ 时间 ⌚ 论文/paper接收公布时间：2021年7月23日

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🔨 目录 |Table of Contents（点击直接跳转）

• Backbone
• Dataset
• Loss
• Vision Transformer
• 目标检测/Object Detection
• 3D目标检测 / 3D Object Detection
• 目标跟踪 / Object Tracking
• Image Semantic Segmentation
• 3D Semantic Segmentation
• 实例分割/Instance Segmentation
• 视频分割 / video semantic segmentation
• 医学图像分割/ Medical Image Segmentation
• GAN
• 细粒度分类/Fine-Grained Visual Categorization
• Geometric deep learning
• Zero/Few Shot
• Human Actions
• 手语识别/Sign Language Recognition
• Pose Estimation
• 6D Object Pose Estimation
• Face Reconstruction
• 行人重识别/Re-Identification
• 人群计数 / Crowd Counting
• Motion Forecasting
• Face-Anti-spoofing
• deepfake
• 对抗攻击/ Adversarial Attacks
• 跨模态检索/Cross-Modal Retrieval
• 深度估计 / Depth Estimation
• 视频插帧/Video Frame Interpolation
• NeRF
• 超分辨/Super-Resolution
• Image Reconstruction
• Image Desnowing
• Image Enhancement
• Matching
• 人机交互/Hand-object Interaction
• 视线估计 / Gaze Estimation
• Contrastive-Learning
• Graph Convolution Networks
• 模型压缩/Compress
• 点云/point cloud
• 字体生成/Font Generation
• Text Detection
• Scene Text Recognizer
• Autonomous-Driving
• Visdrone_detection
• 其他/Others

Backbone

✔️Conformer: Local Features Coupling Global Representations for Visual Recognition

• 论文/paper：https://arxiv.org/abs/2105.03889

• 代码/code：https://github.com/pengzhiliang/Conformer

Reg-IBP: Efficient and Scalable Neural Network Robustness Training via Interval Bound Propagation

• 论文/paper：None
• 代码/code：https://github.com/harrywuhust2022/Reg_IBP_ICCV2021

Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?

• 论文/paper：https://arxiv.org/abs/2105.02498
• 代码/code：https://github.com/KingJamesSong/DifferentiableSVD

返回目录/back

Dataset

✔️FineAction: A Fined Video Dataset for Temporal Action Localization

• 论文/paper：https://arxiv.org/abs/2105.11107 | 主页/Homepage

• 代码/code： None

✔️MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

• 论文/paper：https://arxiv.org/abs/2105.07404 | 主页/Homepage
• 代码/code：https://github.com/MCG-NJU/MultiSports/

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation

• 论文/paper：None

• 代码/code： https://github.com/Anonymous-iccv2021-paper3163/CaFM-Pytorch

返回目录/back

Loss

Bias Loss for Mobile Neural Networks

• 论文/paper：https://arxiv.org/abs/2107.11170
• 代码/code：None

Focal Frequency Loss for Image Reconstruction and Synthesis

• 论文/paper：https://arxiv.org/abs/2012.12821
• 代码/code：https://github.com/EndlessSora/focal-frequency-loss

Orthogonal Projection Loss

• 论文/paper：https://arxiv.org/abs/2103.14021
• 代码/code：https://github.com/kahnchana/opl

Rank & Sort Loss for Object Detection and Instance Segmentation (Oral)

• 论文/paper：https://arxiv.org/abs/2107.11669
• 代码/code：https://github.com/kemaloksuz/RankSortLoss

返回目录/back

Vision Transformer

AutoFormer: Searching Transformers for Visual Recognition

• 论文/paper：https://arxiv.org/abs/2107.00651
• 代码/code：https://github.com/microsoft/AutoML

HiFT: Hierarchical Feature Transformer for Aerial Tracking

• 论文/paper：https://arxiv.org/abs/2108.00202
• 代码/code：https://github.com/vision4robotics/HiFT

High-Fidelity Pluralistic Image Completion with Transformers

• 论文/paper：https://arxiv.org/pdf/2103.14031.pdf | 主页/Homepage
• 代码/code： https://github.com/raywzy/ICT

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers (Oral)

• 论文/paper：https://arxiv.org/pdf/2103.15679.pdf
• 代码/code：https://github.com/hila-chefer/Transformer-MM-Explainability

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

• 论文/paper：https://arxiv.org/abs/2107.13108
• 代码/code： https://github.com/IceTTTb/PlaneTR3D

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

• 解读：https://zhuanlan.zhihu.com/p/353222035

• 论文/paper：https://arxiv.org/abs/2102.12122

• 代码/code：https://github.com/whai362/PVT

Rethinking and Improving Relative Position Encoding for Vision Transformer

• 论文/paper：https://houwenpeng.com/publications/iRPE.pdf
• 代码/code：https://github.com/wkcn/iRPE-model-zoo

Rethinking Spatial Dimensions of Vision Transformers

• 论文/paper：https://arxiv.org/abs/2103.16302
• 代码/code：https://github.com/naver-ai/pit

Spatial-Temporal Transformer for Dynamic Scene Graph Generation

• 解读：用于视频场景图生成的Spatial-Temporal Transformer
• 论文/paper：https://arxiv.org/abs/2107.12309
• 代码/code：None

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

• 论文/paper：https://arxiv.org/abs/2103.14030
• 代码/code：https://github.com/microsoft/Swin-Transformer

✔️Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

• 论文/paper：https://arxiv.org/abs/2101.11986

• 代码/code： https://github.com/yitu-opensource/T2T-ViT

✔️Visual Transformer with Statistical Test for COVID-19 Classification

• 论文/paper：https://arxiv.org/abs/2107.05334
• 代码/code： None

Visual Saliency Transformer

• 论文/paper：https://arxiv.org/abs/2104.12099
• 代码/code： https://github.com/nnizhang/VST

返回目录/back

目标检测/Object Detection

Active Learning for Deep Object Detection via Probabilistic Modeling

• 论文/paper：https://arxiv.org/abs/2103.16130
• 代码/code：None

Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters

• 论文/paper：https://arxiv.org/abs/2108.01499
• 代码/code：https://github.com/DongSky/lbba_boosted_wsod

Conditional Variational Capsule Network for Open Set Recognition

• 论文/paper： https://arxiv.org/abs/2104.09159

• 代码/code：https://github.com/guglielmocamporese/cvaecaposr

DetCo: Unsupervised Contrastive Learning for Object Detection

• 论文/paper：https://arxiv.org/abs/2102.04803

• 代码/code： https://github.com/xieenze/DetCo

Detecting Invisible People

• 论文/paper：https://arxiv.org/abs/2012.08419 | 主页/Homepage
• 代码/code：None

FMODetect: Robust Detection and Trajectory Estimation of Fast Moving Objects

• 论文/paper：None
• 代码/code：https://github.com/rozumden/FMODetect

GraphFPN: Graph Feature Pyramid Network for Object Detection

• 论文/paper：https://arxiv.org/abs/2108.00580
• 代码/code：None

MDETR : Modulated Detection for End-to-End Multi-Modal Understanding

• 论文/paper：https://arxiv.org/abs/2104.12763 | 主页/Homepage
• 代码/code： https://github.com/ashkamath/mdetr

Rank & Sort Loss for Object Detection and Instance Segmentation (Oral)

• 论文/paper：https://arxiv.org/abs/2107.11669
• 代码/code：https://github.com/kemaloksuz/RankSortLoss

返回目录/back

3D目标检测 / 3D Object Detection

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

• 论文/paper：https://arxiv.org/pdf/2107.11355.pdf
• 代码/code：None

返回目录/back

目标跟踪 / Object Tracking

Learn to Match: Automatic Matching Network Design for Visual Tracking

• 论文/paper：https://arxiv.org/abs/2108.00803
• 代码/code：https://github.com/JudasDie/SOTS

返回目录/back

Image Semantic Segmentation

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

• 论文/paper：https://arxiv.org/abs/2006.13144
• 代码/code：https://github.com/EliasKassapis/CARSSS

Exploring Cross-Image Pixel Contrast for Semantic Segmentation （Oral）

• 论文/paper：https://arxiv.org/abs/2101.11939
• 代码/code：https://github.com/tfzhou/ContrastiveSeg

Enhanced Boundary Learning for Glass-like Object Segmentation

• 论文/paper：https://arxiv.org/abs/2103.15734
• 代码/code：https://github.com/hehao13/EBLNet

Labels4Free: Unsupervised Segmentation using StyleGAN

• 论文/paper：https://arxiv.org/abs/2103.14968 | 主页/Homepage
• 代码/code：None

Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation

• 论文/paper：https://arxiv.org/abs/2107.11787
• 代码/code：https://github.com/xulianuwa/AuxSegNet

Mining Latent Classes for Few-shot Segmentation(Oral)

• 论文/paper：https://arxiv.org/abs/2103.15402
• 代码/code：https://github.com/LiheYoung/MiningFSS

Personalized Image Semantic Segmentation

• 论文/paper：None
• 代码/code： https://github.com/zhangyuygss/PIS

Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation(Oral)

• 论文/paper：https://arxiv.org/abs/2107.11279
• 代码/code：https://github.com/CVMI-Lab/DARS

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation

• 论文/paper：https://arxiv.org/abs/2107.11264v1
• 代码/code：None

返回目录/back

3D Semantic Segmentation

VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation

• 论文/paper：None
• 代码/code：https://github.com/hzykent/VMNet

返回目录/back

实例分割/Instance Segmentation

CDNet: Centripetal Direction Network for Nuclear Instance Segmentation

• 论文/paper：None

• 代码/code： https://github.com/2021-ICCV/CDNet

✔️Crossover Learning for Fast Online Video Instance Segmentation

• 论文/paper：https://arxiv.org/abs/2104.05970

• 代码/code： https://github.com/hustvl/CrossVIS

✔️Instances as Queries

• 论文/paper：https://arxiv.org/abs/2105.01928
• 代码/code： https://github.com/hustvl/QueryInst

Rank & Sort Loss for Object Detection and Instance Segmentation (Oral)

• 论文/paper：https://arxiv.org/abs/2107.11669
• 代码/code：https://github.com/kemaloksuz/RankSortLoss

返回目录/back

视频分割 / video semantic segmentation

• 论文/paper：https://arxiv.org/abs/2107.11004
• 代码/code：https://github.com/Dayan-Guan/DA-VSN

返回目录/back

Medical Image Segmentation

Recurrent Mask Refinement for Few-Shot Medical Image Segmentation

• 论文/paper：https://arxiv.org/abs/2108.00622
• 代码/code：None

返回目录/back

GAN

Manifold Matching via Deep Metric Learning for Generative Modeling

• 论文/paper：https://arxiv.org/abs/2106.10777
• 代码/code：https://github.com/dzld00/pytorch-manifold-matching

Toward Spatially Unbiased Generative Models

• 论文/paper：https://arxiv.org/abs/2108.01285
• 代码/code：None

返回目录/back

细粒度分类/Fine-Grained Visual Categorization

Benchmark Platform for Ultra-Fine-Grained Visual Categorization BeyondHuman Performance

• 论文/paper：None
• 代码/code：https://github.com/XiaohanYu-GU/Ultra-FGVC

返回目录/back

Geometric deep learning

Manifold Matching via Deep Metric Learning for Generative Modeling

• 论文/paper：https://arxiv.org/abs/2106.10777
• 代码/code：https://github.com/dzld00/pytorch-manifold-matching

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

• 论文/paper：None
• 代码/code：https://github.com/csyxwei/OroJaR

返回目录/back

Zero/Few Shot

Domain Generalization via Gradient Surgery

• 论文/paper：https://arxiv.org/abs/2108.01621
• 代码/code：None

Generalized Source-free Domain Adaptation

• 论文/paper：https://arxiv.org/abs/2108.01614
• 代码/code：https://github.com/Albert0147/G-SFDA

返回目录/back

Human Actions

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

• 论文/paper：https://arxiv.org/abs/2107.12213

• 代码/code：https://github.com/Uason-Chen/CTR-GCN

✔️FineAction: A Fined Video Dataset for Temporal Action Localization

• 论文/paper：https://arxiv.org/abs/2105.11107 | 主页/Homepage

• 代码/code： None

✔️MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

• 论文/paper：https://arxiv.org/abs/2105.07404 | 主页/Homepage

• 代码/code：https://github.com/MCG-NJU/MultiSports/

返回目录/back

手语识别/Sign Language Recognition

Visual Alignment Constraint for Continuous Sign Language Recognition

• 论文/paper：https://arxiv.org/abs/2104.02330
• 代码/code： https://github.com/Blueprintf/VAC_CSLR

返回目录/back

Pose Estimation

Hand-Object Contact Consistency Reasoning for Human Grasps Generation

• 论文/paper：https://arxiv.org/pdf/2104.03304.pdf | 主页/Homepage
• 代码/code： None

PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

• 论文/paper：https://arxiv.org/abs/2103.16507 | 主页/Homepage
• 代码/code： https://github.com/HongwenZhang/PyMAF

返回目录/back

6D Object Pose Estimation

RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation

• 论文/paper：https://arxiv.org/abs/2104.00633
• 代码/code：https://github.com/sh8/RePOSE

返回目录/back

Face Reconstruction

Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing

• 论文/paper：https://arxiv.org/abs/2103.15432

• 代码/code：None

返回目录/back

行人重识别/Re-Identification

Learning Instance-level Spatial-Temporal Patterns for Person Re-identification

• 论文/paper：https://arxiv.org/abs/2108.00171

• 代码/code：https://github.com/RenMin1991/cleaned-DukeMTMC-reID/

Learning Compatible Embeddings

• 论文/paper：None

• 代码/code：https://github.com/IrvingMeng/LCE

TransReID: Transformer-based Object Re-Identification

• 论文/paper：https://arxiv.org/abs/2102.04378
• 代码/code：https://github.com/heshuting555/TransReID

返回目录/back

人群计数 /Crowd Counting

Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework (Oral)

• 论文/paper：https://arxiv.org/abs/2107.12746
• 代码/code：https://github.com/TencentYoutuResearch/CrowdCounting-P2PNet

Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting

• 论文/paper：https://arxiv.org/abs/2107.12619

• 代码/code：https://github.com/TencentYoutuResearch/CrowdCounting-UEPNet

返回目录/back

Motion Forecasting

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting

• 论文/paper：https://arxiv.org/abs/2108.01316 | 主页/Homepage
• 代码/code：None

返回目录/back

Face-Anti-spoofing

CL-Face-Anti-spoofing

• 论文/paper：None

• 代码/code：https://github.com/xxheyu/CL-Face-Anti-spoofing

返回目录/back

deepfake

• 论文/paper：https://arxiv.org/abs/2107.14480 | Dataset
• 代码/code：None

返回目录/back

对抗攻击/ Adversarial Attacks

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning

• 论文/paper：https://arxiv.org/abs/2108.00146
• 代码/code：None

跨模态检索/Cross-Modal Retrieval

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval

• 论文/paper：None
• 代码/code：None

返回目录/back

深度估计 / Depth Estimation

AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network

• 论文/paper：None
• 代码/code：https://github.com/QT-Zhu/AA-RMVSNet

Motion Basis Learning for Unsupervised Deep Homography Estimationwith Subspace Projection

• 论文/paper：None
• 代码/code：https://github.com/NianjinYe/Motion-Basis-Homography

返回目录/back

视频插帧/Video Frame Interpolation

✔️XVFI: eXtreme Video Frame Interpolation(Oral)

• 论文/paper：https://arxiv.org/abs/2103.16206

• 代码/code： https://github.com/JihyongOh/XVFI

返回目录/back

NeRF

GNeRF: GAN-based Neural Radiance Field without Posed Camera

• 论文/paper：https://arxiv.org/abs/2103.15606 | 主页/Homepage
• 代码/code：https://github.com/MQ66/gnerf

In-Place Scene Labelling and Understanding with Implicit Scene Representation (Oral)

• 论文/paper：https://arxiv.org/abs/2103.15875 | 主页/Homepage
• 代码/code：None

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

• 论文/paper：https://arxiv.org/abs/2103.13744| 主页/Homepage
• 代码/code：https://github.com/creiser/kilonerf

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

• 论文/paper：https://arxiv.org/abs/2104.00677 | 主页/Homepage
• 代码/code：None

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction (Oral)

• 论文/paper：https://arxiv.org/abs/2104.10078 | 主页/Homepage

• 代码/code：None

返回目录/back

超分辨/Super-Resolution

Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks

• 论文/paper：https://arxiv.org/abs/2004.03791

• 代码/code：https://github.com/LongguangWang/ArbSR

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation

• 论文/paper：None

• 代码/code： https://github.com/Anonymous-iccv2021-paper3163/CaFM-Pytorch

返回目录/back

Image Reconstruction

Equivariant Imaging: Learning Beyond the Range Space (Oral)

• 论文/paper：https://arxiv.org/abs/2103.14756

• 代码/code：https://github.com/edongdongchen/EI

返回目录/back

Image Desnowing

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss

• 论文/paper：None
• 代码/code：https://github.com/weitingchen83/ICCV2021-Single-Image-Desnowing-HDCWNet

返回目录/back

Image Enhancement

Gap-closing Matters: Perceptual Quality Assessment and Optimization of Low-Light Image Enhancement

• 论文/paper：None
• 代码/code：https://github.com/Baoliang93/Gap-closing-Matters

返回目录/back

Matching

Multi-scale Matching Networks for Semantic Correspondence

• 论文/paper：https://arxiv.org/abs/2108.00211
• 代码/code：None

返回目录/back

人机交互/Hand-object Interaction

✔️CPF: Learning a Contact Potential Field to Model the Hand-object Interaction

• 论文/paper：https://arxiv.org/abs/2012.00924

• 代码/code：https://github.com/lixiny/CPF

返回目录/back

视线估计/Gaze Estimation

Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation

• 论文/paper：https://arxiv.org/abs/2107.13780 | 主页/Homepage

• 代码/code：https://github.com/DreamtaleCore/PnP-GA

返回目录/back

Contrastive-Learning

Social NCE: Contrastive Learning of Socially-aware Motion Representations

• 论文/paper：https://arxiv.org/abs/2012.11717

• 代码/code：https://github.com/vita-epfl/social-nce-crowdnav

Parametric Contrastive Learning

• 论文/paper：https://arxiv.org/abs/2107.12028

• 代码/code：https://github.com/jiequancui/Parametric-Contrastive-Learning

返回目录/back

Graph Convolution Networks

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

• 论文/paper：None
• 代码/code：https://github.com/Droliven/MSRGCN

返回目录/back

模型压缩/Compress

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks

• 论文/paper：None

• 代码/code：https://github.com/yikaiw/SNN

返回目录/back

点云/Point Cloud

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring

• 论文/paper：https://arxiv.org/pdf/2103.01128.pdf

• 代码/code：https://github.com/CurryYuan/InstanceRefer

MVP Benchmark: Multi-View Partial Point Clouds for Completion and Registration

• 论文/paper：None |主页/Homepage
• 代码/code：https://github.com/paul007pl/MVP_Benchmark

Out-of-Core Surface Reconstruction via Global TGV Minimization

• 论文/paper：https://arxiv.org/abs/2107.14790
• 代码/code：None

ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation

• 论文/paper：https://arxiv.org/abs/2107.11769
• 代码/code：None

Unsupervised Point Cloud Pre-Training via View-Point Occlusion, Completion

• 论文/paper：https://arxiv.org/abs/2010.01089 |主页/Homepage
• 代码/code：https://github.com/hansen7/OcCo

Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility

• 论文/paper：None
• 代码/code：https://github.com/GDAOSU/vis2mesh

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

• 论文/paper：https://arxiv.org/abs/2105.01288v1| 主页/Homepage

• 代码/code：https://github.com/tiangexiang/CurveNet

返回目录/back

字体生成/Font Generation

✔️Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

• 论文/paper：https://arxiv.org/abs/2104.00887

• 代码/code：https://github.com/clovaai/mxfont

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Text Detection

Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection

• 论文/paper：https://arxiv.org/abs/2107.12664
• 代码/code：https://github.com/GXYM/TextBPN

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Scene Text Recognizer

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

• 论文/paper：None

• 代码/code：https://github.com/wangyuxin87/VisionLAN

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Autonomous-Driving

Road-Challenge-Event-Detection-for-Situation-Awareness-in-Autonomous-Driving

• 论文/paper：None

• 代码/code：https://github.com/Trevorchenmsu/Road-Challenge-Event-Detection-for-Situation-Awareness-in-Autonomous-Driving

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Visdrone_detection

ICCV2021_Visdrone_detection

• 论文/paper：None

• 代码/code：https://github.com/Gumpest/ICCV2021_Visdrone_detection

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其他/Others

Cross-Camera Convolutional Color Constancy

• 论文/paper：https://arxiv.org/abs/2011.11164

• 代码/code：https://github.com/mahmoudnafifi/C5

Learnable Boundary Guided Adversarial Training

• 论文/paper：https://arxiv.org/abs/2011.11164

• 代码/code：https://github.com/FPNAS/LBGAT

Prior-Enhanced network with Meta-Prototypes (PEMP)

• 论文/paper：None
• 代码/code：https://github.com/PaperSubmitAAAA/ICCV2021-2337

MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

• 论文/paper：https://arxiv.org/abs/2104.12763 | 主页/Homepage
• 代码/code：https://github.com/ashkamath/mdetr

Generalized-Shuffled-Linear-Regression （Oral）

• 论文/paper：https://drive.google.com/file/d/1Qu21VK5qhCW8WVjiRnnBjehrYVmQrDNh/view
• 代码/code：https://github.com/SILI1994/Generalized-Shuffled-Linear-Regression

VLGrammar: Grounded Grammar Induction of Vision and Language

• 论文/paper：https://arxiv.org/abs/2103.12975
• 代码/code：https://github.com/evelinehong/VLGrammar

A New Journey from SDRTV to HDRTV

• 论文/paper：None
• 代码/code：https://github.com/chxy95/HDRTVNet

IICNet: A Generic Framework for Reversible Image Conversion

• 论文/paper：None
• 代码/code：https://github.com/felixcheng97/IICNet

Structure-Preserving Deraining with Residue Channel Prior Guidance

• 论文/paper：None
• 代码/code：https://github.com/Joyies/SPDNet

Learning with Noisy Labels via Sparse Regularization

• 论文/paper：https://arxiv.org/abs/2108.00192
• 代码/code：https://github.com/hitcszx/lnl_sr

Neural Strokes: Stylized Line Drawing of 3D Shapes

• 论文/paper：None
• 代码/code：https://github.com/DifanLiu/NeuralStrokes

COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation

• 论文/paper：None
• 代码/code：https://github.com/kywen1119/COOKIE

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth

• 论文/paper：https://arxiv.org/abs/2108.00616
• 代码/code：None

ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description

• 论文/paper：https://arxiv.org/abs/2108.00355
• 代码/code：None

Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction

• 论文/paper：https://arxiv.org/abs/2108.00238
• 代码/code：None

CanvasVAE: Learning to Generate Vector Graphic Documents

• 论文/paper：https://arxiv.org/abs/2108.01249
• 代码/code：None

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