daveredrum / CVPR2021-Papers-with-Code

CVPR 2020 论文开源项目合集

CVPR2021-Code

CVPR 2021 论文和开源项目合集(papers with code)！

CVPR 2021 收录列表：http://cvpr2021.thecvf.com/sites/default/files/2021-03/accepted_paper_ids.txt

注1：欢迎各位大佬提交issue，分享CVPR 2021论文和开源项目！

注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision

CVPR 2021 中奖群已成立！已经收录的同学，可以添加微信：CVer9999，请备注：CVPR2021已收录+姓名+学校/公司名称！一定要根据格式申请，可以拉你进群沟通开会等事宜。

【CVPR 2021 论文开源目录】

• Backbone
• NAS
• GAN
• 自监督(Self-Supervised)
• 目标检测(Object Detection)
• 实例分割(Instance Segmentation)
• 人脸活体检测(Face Anti-Spoofing)
• Deepfake检测(Deepfake Detection)
• 图像恢复(Image Restoration)
• 3D目标检测(3D Object Detection)
• 3D目标跟踪(3D Object Tracking)
• 3D点云配准(3D Point Cloud Registration)
• 视觉推理(Visual Reasoning)
• 阴影去除(Shadow Removal)
• 数据集(Datasets)
• 其他(Others)
• 不确定中没中(Not Sure)

Backbone

Inception Convolution with Efficient Dilation Search

• Paper: https://arxiv.org/abs/2012.13587
• Code: None

RepVGG: Making VGG-style ConvNets Great Again

• Paper: https://arxiv.org/abs/2101.03697
• Code: https://github.com/DingXiaoH/RepVGG

NAS

Inception Convolution with Efficient Dilation Search

• Paper: https://arxiv.org/abs/2012.13587
• Code: None

GAN

Image-to-image Translation via Hierarchical Style Disentanglement

• Paper: https://arxiv.org/abs/2103.01456
• Code: https://github.com/imlixinyang/HiSD

自监督

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

• Paper: https://arxiv.org/abs/2011.09157
• Code: https://github.com/WXinlong/DenseCL

目标检测(Object Detection)

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

• Paper: https://arxiv.org/abs/2011.12885
• Code: https://github.com/implus/GFocalV2

Multiple Instance Active Learning for Object Detection

• Paper: https://github.com/yuantn/MIAL/raw/master/paper.pdf
• Code: https://github.com/yuantn/MIAL

Towards Open World Object Detection

• Paper: https://arxiv.org/abs/2103.02603
• Code: https://github.com/JosephKJ/OWOD

实例分割(Instance Segmentation)

Zero-shot instance segmentation（Not Sure）

• Paper: None
• Code: https://github.com/CVPR2021-pape-id-1395/CVPR2021-paper-id-1395

人脸活体检测(Face Anti-Spoofing)

Cross Modal Focal Loss for RGBD Face Anti-Spoofing

• Paper: https://arxiv.org/abs/2103.00948
• Code: None

Deepfake检测(Deepfake Detection)

Multi-attentional Deepfake Detection

• Paper：https://arxiv.org/abs/2103.02406
• Code: None

图像恢复(Image Restoration)

Multi-Stage Progressive Image Restoration

• Paper: https://arxiv.org/abs/2102.02808
• Code: https://github.com/swz30/MPRNet

3D目标检测(3D Object Detection)

Center-based 3D Object Detection and Tracking

• Paper: https://arxiv.org/abs/2006.11275
• Code: https://github.com/tianweiy/CenterPoint

Categorical Depth Distribution Network for Monocular 3D Object Detection

• Paper: https://arxiv.org/abs/2103.01100
• Code: None

3D目标跟踪(3D Object Trancking)

Center-based 3D Object Detection and Tracking

• Paper: https://arxiv.org/abs/2006.11275
• Code: https://github.com/tianweiy/CenterPoint

3D点云配准(3D Point Cloud Registration)

PREDATOR: Registration of 3D Point Clouds with Low Overlap

• Paper: https://arxiv.org/abs/2011.13005
• Code: https://github.com/ShengyuH/OverlapPredator

视觉推理(Visual Reasoning)

Transformation Driven Visual Reasoning

• homepage: https://hongxin2019.github.io/TVR/

• Paper: https://arxiv.org/abs/2011.13160

• Code: https://github.com/hughplay/TVR

阴影去除(Shadow Removal)

Auto-Exposure Fusion for Single-Image Shadow Removal

• Paper: https://arxiv.org/abs/2103.01255
• Code: https://github.com/tsingqguo/exposure-fusion-shadow-removal

数据集(Datasets)

There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge

• Paper: https://arxiv.org/abs/2103.01353

• Code: http://rl.uni-freiburg.de/research/multimodal-distill

• Dataset: http://rl.uni-freiburg.de/research/multimodal-distill

其他(Others)

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

• Paper: https://arxiv.org/abs/2012.02206

• Code: https://github.com/daveredrum/Scan2Cap

• Dataset: https://github.com/daveredrum/ScanRefer

There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge

• Paper: https://arxiv.org/abs/2103.01353

• Code: http://rl.uni-freiburg.de/research/multimodal-distill

• Dataset: http://rl.uni-freiburg.de/research/multimodal-distill

不确定中没中(Not Sure)

CT Film Recovery via Disentangling Geometric Deformation and Photometric Degradation: Simulated Datasets and Deep Models

• Paper: none
• Code: https://github.com/transcendentsky/Film-Recovery

Toward Explainable Reflection Removal with Distilling and Model Uncertainty

• Paper: none
• Code: https://github.com/ytpeng-aimlab/CVPR-2021-Toward-Explainable-Reflection-Removal-with-Distilling-and-Model-Uncertainty

DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation

• Paper: none
• Code: https://github.com/lhaippp/DeepOIS

Exploring Adversarial Fake Images on Face Manifold

• Paper: none
• Code: https://github.com/ldz666666/Style-atk

Uncertainty-Aware Semi-Supervised Crowd Counting via Consistency-Regularized Surrogate Task

• Paper: none
• Code: https://github.com/yandamengdanai/Uncertainty-Aware-Semi-Supervised-Crowd-Counting-via-Consistency-Regularized-Surrogate-Task

Temporal Contrastive Graph for Self-supervised Video Representation Learning

• Paper: none
• Code: https://github.com/YangLiu9208/TCG

Boosting Monocular Depth Estimation Models to High-Resolution via Context-Aware Patching

• Paper: none
• Code: https://github.com/ouranonymouscvpr/cvpr2021_ouranonymouscvpr

Fast and Memory-Efficient Compact Bilinear Pooling

• Paper: none
• Code: https://github.com/cvpr2021kp2/cvpr2021kp2

Identification of Empty Shelves in Supermarkets using Domain-inspired Features with Structural Support Vector Machine

• Paper: none
• Code: https://github.com/gapDetection/cvpr2021

Estimating A Child's Growth Potential From Cephalometric X-Ray Image via Morphology-Aware Interactive Keypoint Estimation

• Paper: none
• Code: https://github.com/interactivekeypoint2020/Morph

https://github.com/ShaoQiangShen/CVPR2021

https://github.com/gillesflash/CVPR2021

https://github.com/anonymous-submission1991/BaLeNAS

https://github.com/cvpr2021dcb/cvpr2021dcb

https://github.com/anonymousauthorCV/CVPR2021_PaperID_8578

https://github.com/AldrichZeng/FreqPrune

https://github.com/Anonymous-AdvCAM/Anonymous-AdvCAM

https://github.com/ddfss/datadrive-fss