Hunter-Murphy / ECCV2020-Code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

ECCV2020-Code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

关于往年CV顶会论文（如CVPR 2020、ICCV 2019、ECCV 2018）以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision

• CNN
• 图像分类
• 2D目标检测
• 3D目标检测
• 视频目标检测
• 语义分割
• 实例分割
• 视频目标分割
• 单/多目标跟踪
• GAN
• NAS
• 3D点云（分类/分割/配准/补全等）
• 人脸（检测/识别/解析等）
• Re-ID
• 显著性检测（SOD）
• 模型压缩（剪枝/知识蒸馏等）
• 视频理解/行为识别/行为检测
• 场景文本检测
• 场景文本识别
• 特征点检测/描述符
• 深度估计
• 深度补全
• 超分辨率
• 去模糊
• 图像/视频修复(补全)
• 图像检索
• 光流估计
• 车道线检测
• 轨迹预测
• 线段检测
• 数据集
• 其他
• 不确定中没中

CNN

WeightNet: Revisiting the Design Space of Weight Networks

• 论文：https://arxiv.org/abs/2007.11823
• 代码：https://github.com/megvii-model/WeightNet

Feature Pyramid Transformer

• 论文：https://arxiv.org/abs/2007.09451

• 代码：https://github.com/ZHANGDONG-NJUST/FPT

Dynamic Group Convolution for Accelerating Convolutional Neural Networks

• 论文：https://arxiv.org/abs/2007.04242
• 代码：https://github.com/zhuogege1943/dgc

Learning to Learn Parameterized Classification Networks for Scalable Input Images

• 论文：https://arxiv.org/abs/2007.06181

• 代码：https://github.com/d-li14/SAN

Rethinking Bottleneck Structure for Efficient Mobile Network Design

• 论文：https://arxiv.org/abs/2007.02269
• 代码：https://github.com/zhoudaquan/rethinking_bottleneck_design

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

• 论文：Oral
• 论文：https://arxiv.org/abs/1909.12978
• 代码：https://github.com/taoyang1122/MutualNet

PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

• 论文：https://arxiv.org/abs/2007.06191
• 代码：https://github.com/d-li14/PSConv

图像分类

Learning to Learn Parameterized Classification Networks for Scalable Input Images

• 论文：暂无

• 代码：https://github.com/d-li14/SAN

Learning To Classify Images Without Labels

• 论文：https://arxiv.org/abs/2005.12320
• 代码：https://github.com/wvangansbeke/Unsupervised-Classification

2D目标检测

BorderDet: Border Feature for Dense Object Detection

• 论文：https://arxiv.org/abs/2007.11056

• 代码：https://github.com/Megvii-BaseDetection/BorderDet

• 中文解读：https://zhuanlan.zhihu.com/p/163044323

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

• 论文：https://arxiv.org/abs/2007.09384

• 代码：https://github.com/jiaxi-wu/MPSR

PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

• 论文：https://arxiv.org/abs/2007.09584

• 代码：https://github.com/clobotics/piou

• 数据集：https://github.com/clobotics/piou

Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer

• 论文：https://arxiv.org/abs/2007.07986
• 代码：https://github.com/mikuhatsune/wsod_transfer

Probabilistic Anchor Assignment with IoU Prediction for Object Detection

• 论文：https://arxiv.org/abs/2007.08103
• 代码：https://github.com/kkhoot/PAA

HoughNet: Integrating near and long-range evidence for bottom-up object detection

• 论文：https://arxiv.org/abs/2007.02355
• 代码：https://github.com/nerminsamet/houghnet

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

• 论文：https://arxiv.org/abs/2003.06800

• 代码：https://github.com/aosokin/os2d

End-to-End Object Detection with Transformers

• Oral

• 论文：https://ai.facebook.com/research/publications/end-to-end-object-detection-with-transformers

• 代码：https://github.com/facebookresearch/detr

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

• 论文：https://arxiv.org/abs/2004.06002

• 代码：https://github.com/hkzhang95/DynamicRCNN

遥感旋转目标检测

Arbitrary-Oriented Object Detection with Circular Smooth Label

• 论文：https://arxiv.org/abs/2003.05597
• 代码：https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow

3D目标检测

Pillar-based Object Detection for Autonomous Driving

• 论文：https://arxiv.org/abs/2007.10323
• 代码：https://github.com/WangYueFt/pillar-od

EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection

• 论文：https://arxiv.org/abs/2007.08856
• 代码：https://github.com/happinesslz/EPNet

视频目标检测

Learning Where to Focus for Efficient Video Object Detection

• 主页：https://jiangzhengkai.github.io/LSTS/
• 论文：暂无
• 代码：https://github.com/jiangzhengkai/LSTS

语义分割

GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild

• 主页：https://lttm.dei.unipd.it/paper_data/GMNet/
• 论文：https://arxiv.org/abs/2007.09073
• 代码：https://github.com/LTTM/GMNet

SegFix: Model-Agnostic Boundary Refinement for Segmentation

• 论文：https://arxiv.org/abs/2007.04269

• 代码：https://github.com/openseg-group/openseg.pytorch

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

• Oral
• 论文：https://arxiv.org/abs/2007.01947
• 代码：https://github.com/GuoleiSun/MCIS_wsss

Improving Semantic Segmentation via Decoupled Body and Edge Supervision

• 论文：https://arxiv.org/abs/2007.10035

• 代码：https://github.com/lxtGH/DecoupleSegNets

实例分割

Boundary-preserving Mask R-CNN

• 论文：https://arxiv.org/abs/2007.08921

• 代码：https://github.com/hustvl/BMaskR-CNN

Conditional Convolutions for Instance Segmentation

• Oral
• 论文：https://arxiv.org/abs/2003.05664
• 代码：https://github.com/aim-uofa/AdelaiDet/blob/master/configs/CondInst/README.md

SOLO: Segmenting Objects by Locations

• 论文：https://arxiv.org/abs/1912.04488

• 代码：https://github.com/WXinlong/SOLO

• 知乎话题：https://www.zhihu.com/question/360594484

视频目标分割

Collaborative Video Object Segmentation by Foreground-Background Integration

• 论文：https://arxiv.org/abs/2003.08333
• 代码：https://github.com/z-x-yang/CFBI

Video Object Segmentation with Episodic Graph Memory Networks

• 论文：https://arxiv.org/abs/2007.07020

• 代码：https://github.com/carrierlxk/GraphMemVOS

单/多目标跟踪

Ocean: Object-aware Anchor-Free Tracking

• 论文：https://arxiv.org/abs/2006.10721

• 代码：https://github.com/researchmm/TracKit

多目标跟踪

Ocean: Object-aware Anchor-Free Tracking

• 论文：https://arxiv.org/abs/2006.10721

• 代码：https://github.com/researchmm/TracKit

TAO: A Large-Scale Benchmark for Tracking Any Object

• 主页：http://taodataset.org/
• 论文：https://arxiv.org/abs/2005.10356
• 代码：https://github.com/TAO-Dataset/tao

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

• Oral
• 论文：https://arxiv.org/abs/2007.01550
• 代码：https://github.com/detectRecog/PointTrack
• 数据集：https://github.com/detectRecog/PointTrack

GAN

XingGAN for Person Image Generation

• 论文：暂无
• 代码：https://github.com/Ha0Tang/XingGAN

NAS

Rethinking Bottleneck Structure for Efficient Mobile Network Design

• 论文：https://arxiv.org/abs/2007.02269
• 代码：https://github.com/zhoudaquan/rethinking_bottleneck_design

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

• 论文：https://arxiv.org/abs/1911.12126
• 代码：https://github.com/xiaomi-automl/fairdarts

3D点云（分类/分割/配准/补全等）

A Closer Look at Local Aggregation Operators in Point Cloud Analysis

• 论文：https://arxiv.org/abs/2007.01294
• 代码：https://github.com/zeliu98/CloserLook3D

3D点云补全

Multimodal Shape Completion via Conditional Generative Adversarial Networks

• 论文：https://arxiv.org/abs/2003.07717
• 代码：https://github.com/ChrisWu1997/Multimodal-Shape-Completion

GRNet: Gridding Residual Network for Dense Point Cloud Completion

• 论文：https://arxiv.org/abs/2006.03761
• 代码：https://github.com/hzxie/GRNet

3D点云生成

Progressive Point Cloud Deconvolution Generation Network

• 论文：https://arxiv.org/abs/2007.05361

• 代码：https://github.com/fpthink/PDGN

人脸（检测/识别/解析等

Edge-aware Graph Representation Learning and Reasoning for Face Parsing

• 论文：https://arxiv.org/abs/2007.11240

• 代码：https://github.com/tegusi/EAGRNet

Re-ID

Temporal Complementary Learning for Video Person Re-Identification

论文下载链接：https://arxiv.org/abs/2007.09357

代码：https://github.com/blue-blue272/VideoReID-TCLNet

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

• 论文：https://arxiv.org/abs/2007.10315
• 代码：https://github.com/NVlabs/DG-Net-PP

Robust Re-Identification by Multiple Views Knowledge Distillation

• 论文：https://arxiv.org/abs/2007.04174
• 代码：https://github.com/aimagelab/VKD

Multiple Expert Brainstorming for Domain Adaptive Person Re-identification

• 论文：https://arxiv.org/abs/2007.01546

• 代码：https://github.com/YunpengZhai/MEB-Net

显著性检测（SOD）

Suppress and Balance: A Simple Gated Network for Salient Object Detection

• Oral

• 论文：https://arxiv.org/abs/2007.08074

• 代码：https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency

Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

• 论文：https://arxiv.org/abs/2007.06227

• 代码：https://github.com/lartpang/HDFNet

A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

• 论文：https://arxiv.org/abs/2007.06811
• 代码：https://github.com/Xiaoqi-Zhao-DLUT/DANet-RGBD-Saliency

Cross-Modal Weighting Network for RGB-D Salient Object Detection

• 论文：暂无

• 代码：https://github.com/MathLee/CMWNet

BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

• 论文：暂无
• 代码：https://github.com/DengPingFan/BBS-Net

Highly Efficient Salient Object Detection with 100K Parameters

• 论文：https://arxiv.org/abs/2003.05643
• 代码：https://github.com/MCG-NKU/Sal100K

模型压缩（剪枝/知识蒸馏等）

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

• 论文：https://arxiv.org/abs/2007.02491
• 代码：https://github.com/anonymous47823493/EagleEye

视频理解/行为识别/行为检测

Context-Aware RCNN: A Baseline for Action Detection in Videos

• 论文：https://arxiv.org/abs/2007.09861

• 代码：https://github.com/MCG-NJU/CRCNN-Action

Actions as Moving Points

• 论文：https://arxiv.org/abs/2001.04608
• 代码：https://github.com/MCG-NJU/MOC-Detector

SF-Net: Single-Frame Supervision for Temporal Action Localization

• 论文：https://arxiv.org/abs/2003.06845
• 代码：https://github.com/Flowerfan/SF-Net

Asynchronous Interaction Aggregation for Action Detection

• 论文：https://arxiv.org/abs/2004.07485

• 代码：https://github.com/MVIG-SJTU/AlphAction

场景文本检测

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

• 论文：https://arxiv.org/abs/2007.09482

• 代码：https://github.com/MhLiao/MaskTextSpotterV3

场景文本识别

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

• 论文：https://arxiv.org/abs/2007.09482

• 代码：https://github.com/MhLiao/MaskTextSpotterV3

特征点检测/描述符

Online Invariance Selection for Local Feature Descriptors

• Oral

• 论文：https://arxiv.org/abs/2007.08988

• 代码：https://github.com/rpautrat/LISRD

深度估计

单目深度估计

Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

• 论文：https://arxiv.org/abs/2007.06936

• 代码：https://github.com/ifnspaml/SGDepth

深度补全

Non-Local Spatial Propagation Network for Depth Completion

• 论文：https://arxiv.org/abs/2007.10042
• 代码：https://github.com/zzangjinsun/NLSPN_ECCV20

超分辨率

图像超分辨率

Learning with Privileged Information for Efficient Image Super-Resolution

• 主页：https://cvlab.yonsei.ac.kr/projects/PISR/
• 论文：https://arxiv.org/abs/2007.07524
• 代码：https://github.com/cvlab-yonsei/PISR

Spatial-Angular Interaction for Light Field Image Super-Resolution

• 论文：https://arxiv.org/abs/1912.07849
• 代码：https://github.com/YingqianWang/LF-InterNet

Invertible Image Rescaling

• 论文：https://arxiv.org/abs/2005.05650
• 代码：https://github.com/pkuxmq/Invertible-Image-Rescaling

去模糊

End-to-end Interpretable Learning of Non-blind Image Deblurring

• 论文：https://arxiv.org/abs/2007.01769
• 代码：暂无（即将出来）

图像/视频修复(补全)

Learning Joint Spatial-Temporal Transformations for Video Inpainting

• 论文：https://arxiv.org/abs/2007.10247

• 代码：https://github.com/researchmm/STTN

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

• Oral
• 论文：暂无
• 代码：https://github.com/KumapowerLIU/ECCV2020oralRethinking-Image-Inpainting-via-a-Mutual-Encoder-Decoder-with-Feature-Equalizations

图像检索

Self-supervising Fine-grained Region Similarities for Large-scale Image Localization

• 主页：https://yxgeee.github.io/projects/sfrs

• 论文：https://arxiv.org/abs/2006.03926

• 代码：https://github.com/yxgeee/SFRS

光流估计

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation

• 论文：https://arxiv.org/abs/2007.09319
• 代码：https://github.com/twhui/LiteFlowNet3

车道线检测

Ultra Fast Structure-aware Deep Lane Detection

• 论文：https://arxiv.org/abs/2004.11757

• 代码：https://github.com/cfzd/Ultra-Fast-Lane-Detection

• 论文解读：https://mp.weixin.qq.com/s/TYzDx8R1oUbVr0FxGnFspQ

Gen-LaneNet: a generalized and scalable approach for 3D lane detection

• 论文：https://arxiv.org/abs/2003.10656
• 代码：https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection
• 数据集：https://github.com/yuliangguo/3D_Lane_Synthetic_Dataset

轨迹预测

SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras

• 论文：https://arxiv.org/abs/2004.02022
• 代码：https://github.com/JunweiLiang/Multiverse

线段检测

Deep Hough-Transform Line Priors

• 论文：https://arxiv.org/abs/2007.09493

• 代码：https://github.com/yanconglin/Deep-Hough-Transform-Line-Priors

数据集

PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

• 论文：https://arxiv.org/abs/2007.09584

• 代码：https://github.com/clobotics/piou

• 数据集：https://github.com/clobotics/piou

DanbooRegion: An Illustration Region Dataset

• 主页：https://lllyasviel.github.io/DanbooRegion/

• 论文：https://lllyasviel.github.io/DanbooRegion/paper/paper.pdf

• 数据集：https://github.com/lllyasviel/DanbooRegion

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

• Oral
• 论文：https://arxiv.org/abs/2007.01550
• 代码：https://github.com/detectRecog/PointTrack
• 数据集：https://github.com/detectRecog/PointTrack

Gen-LaneNet: a generalized and scalable approach for 3D lane detection

• 论文：https://arxiv.org/abs/2003.10656
• 代码：https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection
• 数据集：https://github.com/yuliangguo/3D_Lane_Synthetic_Dataset

TAO: A Large-Scale Benchmark for Tracking Any Object

• 主页：http://taodataset.org/
• 论文：https://arxiv.org/abs/2005.10356
• 代码：https://github.com/TAO-Dataset/tao

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

• 主页：http://structured3d-dataset.org
• 论文：https://arxiv.org/abs/1908.00222
• 代码：https://github.com/bertjiazheng/Structured3D

AiR: Attention with Reasoning Capability

• 论文：暂无

• 代码：https://github.com/szzexpoi/AiR

• 数据集：https://github.com/szzexpoi/AiR

其他

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

• 论文：https://arxiv.org/abs/2007.09654
• 代码：https://github.com/wutong16/DistributionBalancedLoss

A Generic Visualization Approach for Convolutional Neural Networks

• 论文：https://arxiv.org/abs/2007.09748

• 代码：https://github.com/ahmdtaha/constrained_attention_filter

Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches

• 主页：https://williamyang1991.github.io/projects/ECCV2020
• 论文：https://arxiv.org/abs/2001.02890
• 代码：https://github.com/TAMU-VITA/DeepPS

GIQA: Generated Image Quality Assessment

• 论文：https://arxiv.org/abs/2003.08932
• 代码：https://github.com/cientgu/GIQA

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

• 主页：http://structured3d-dataset.org
• 论文：https://arxiv.org/abs/1908.00222
• 代码：https://github.com/bertjiazheng/Structured3D

AiR: Attention with Reasoning Capability

• 论文：暂无

• 代码：https://github.com/szzexpoi/AiR

• 数据集：https://github.com/szzexpoi/AiR

Square Attack: a query-efficient black-box adversarial attack via random search

• 论文：https://arxiv.org/abs/1912.00049
• 代码：https://github.com/max-andr/square-attack

不确定中没中

Relation Aware Panoptic Segmentation

• 论文：暂无
• 代码：https://github.com/RAPNet/RAP

Spatial-Angular Interaction for Light Field Image Super-Resolution

• 论文：暂无
• 代码：https://github.com/YingqianWang/LF-InterNet

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

• 论文：https://arxiv.org/abs/2001.09099
• 代码：https://github.com/jayleicn/TVRetrieval
• 代码：https://github.com/jayleicn/TVCaption

Self-supervising Fine-grained Region Similarities for IBL

• 论文：暂无
• 代码： https://github.com/ID2191/ECCV2020

https://github.com/lelechen63/eccv2020