CVPR 2022 论文和开源项目合集-技术圈

向AI转型的程序员都关注了这个号👇👇👇

机器学习AI算法工程公众号：datayx

【CVPR 2022 论文开源目录】

Backbone
CLIP
GAN
NAS
NeRF
Visual Transformer
视觉和语言(Vision-Language)
自监督学习(Self-supervised Learning)
数据增强(Data Augmentation)
目标检测(Object Detection)
目标跟踪(Visual Tracking)
语义分割(Semantic Segmentation)
实例分割(Instance Segmentation)
小样本分割(Few-Shot Segmentation)
视频理解(Video Understanding)
图像编辑(Image Editing)
Low-level Vision
超分辨率(Super-Resolution)
3D点云(3D Point Cloud)
3D目标检测(3D Object Detection)
3D语义分割(3D Semantic Segmentation)
3D目标跟踪(3D Object Tracking)
3D人体姿态估计(3D Human Pose Estimation)
3D语义场景补全(3D Semantic Scene Completion)
3D重建(3D Reconstruction)
伪装物体检测(Camouflaged Object Detection)
深度估计(Depth Estimation)
立体匹配(Stereo Matching)
车道线检测(Lane Detection)
图像修复(Image Inpainting)
人群计数(Crowd Counting)
医学图像(Medical Image)
场景图生成(Scene Graph Generation)
弱监督物体检测(Weakly Supervised Object Localization)
高光谱图像重建(Hyperspectral Image Reconstruction)
水印(Watermarking)
数据集(Datasets)
新任务(New Tasks)
其他(Others)

Backbone

A ConvNet for the 2020s

Paper: https://arxiv.org/abs/2201.03545
Code: https://github.com/facebookresearch/ConvNeXt
中文解读：https://mp.weixin.qq.com/s/Xg5wPYExnvTqRo6s5-2cAw

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

Paper: https://arxiv.org/abs/2203.06717
Code: https://github.com/megvii-research/RepLKNet
Code2: https://github.com/DingXiaoH/RepLKNet-pytorch
中文解读：https://mp.weixin.qq.com/s/_qXyIQut-JRW6VvsjaQlFg

MPViT : Multi-Path Vision Transformer for Dense Prediction

Paper: https://arxiv.org/abs/2112.11010
Code: https://github.com/youngwanLEE/MPViT
中文解读: https://mp.weixin.qq.com/s/Q9-crEOz5IYzZaNoq8oXfg

CLIP

HairCLIP: Design Your Hair by Text and Reference Image

Paper: https://arxiv.org/abs/2112.05142
Code: https://github.com/wty-ustc/HairCLIP

PointCLIP: Point Cloud Understanding by CLIP

Paper: https://arxiv.org/abs/2112.02413
Code: https://github.com/ZrrSkywalker/PointCLIP

Blended Diffusion for Text-driven Editing of Natural Images

Paper: https://arxiv.org/abs/2111.14818
Code: https://github.com/omriav/blended-diffusion

GAN

SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing

Homepage: https://semanticstylegan.github.io/
Paper: https://arxiv.org/abs/2112.02236
Demo: https://semanticstylegan.github.io/videos/demo.mp4

Style Transformer for Image Inversion and Editing

Paper: https://arxiv.org/abs/2203.07932
Code: https://github.com/sapphire497/style-transformer

NAS

β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search

Paper: https://arxiv.org/abs/2203.01665
Code: https://github.com/Sunshine-Ye/Beta-DARTS

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

Paper: https://arxiv.org/abs/2111.15362
Code: None

NeRF

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Homepage: https://jonbarron.info/mipnerf360/
Paper: https://arxiv.org/abs/2111.12077
Demo: https://youtu.be/YStDS2-Ln1s

Point-NeRF: Point-based Neural Radiance Fields

Homepage: https://xharlie.github.io/projects/project_sites/pointnerf/
Paper: https://arxiv.org/abs/2201.08845
Code: https://github.com/Xharlie/point-nerf

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images

Paper: https://arxiv.org/abs/2111.13679
Homepage: https://bmild.github.io/rawnerf/
Demo: https://www.youtube.com/watch?v=JtBS4KBcKVc

Urban Radiance Fields

Homepage: https://urban-radiance-fields.github.io/
Paper: https://arxiv.org/abs/2111.14643
Demo: https://youtu.be/qGlq5DZT6uc

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation

Paper: https://arxiv.org/abs/2202.13162
Code: https://github.com/HexagonPrime/Pix2NeRF

HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video

Homepage: https://grail.cs.washington.edu/projects/humannerf/
Paper: https://arxiv.org/abs/2201.04127
Demo: https://youtu.be/GM-RoZEymmw

Visual Transformer

Backbone

MPViT : Multi-Path Vision Transformer for Dense Prediction

Paper: https://arxiv.org/abs/2112.11010
Code: https://github.com/youngwanLEE/MPViT

应用(Application)

Language-based Video Editing via Multi-Modal Multi-Level Transformer

Paper: https://arxiv.org/abs/2104.01122
Code: None

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

Paper: https://arxiv.org/abs/2203.00859
Code: None

Embracing Single Stride 3D Object Detector with Sparse Transformer

Paper: https://arxiv.org/abs/2112.06375
Code: https://github.com/TuSimple/SST

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

Paper: https://arxiv.org/abs/2203.02891
Code: https://github.com/xulianuwa/MCTformer

Spatio-temporal Relation Modeling for Few-shot Action Recognition

Paper: https://arxiv.org/abs/2112.05132
Code: https://github.com/Anirudh257/strm

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Paper: https://arxiv.org/abs/2111.07910
Code: https://github.com/caiyuanhao1998/MST

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Homepage: https://point-bert.ivg-research.xyz/
Paper: https://arxiv.org/abs/2111.14819
Code: https://github.com/lulutang0608/Point-BERT

GroupViT: Semantic Segmentation Emerges from Text Supervision

Homepage: https://jerryxu.net/GroupViT/
Paper: https://arxiv.org/abs/2202.11094
Demo: https://youtu.be/DtJsWIUTW-Y

Restormer: Efficient Transformer for High-Resolution Image Restoration

Paper: https://arxiv.org/abs/2111.09881
Code: https://github.com/swz30/Restormer

Splicing ViT Features for Semantic Appearance Transfer

Homepage: https://splice-vit.github.io/
Paper: https://arxiv.org/abs/2201.00424
Code: https://github.com/omerbt/Splice

Self-supervised Video Transformer

Homepage: https://kahnchana.github.io/svt/
Paper: https://arxiv.org/abs/2112.01514
Code: https://github.com/kahnchana/svt

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

Paper: https://arxiv.org/abs/2203.02664
Code: https://github.com/rulixiang/afa

Accelerating DETR Convergence via Semantic-Aligned Matching

Paper: https://arxiv.org/abs/2203.06883
Code: https://github.com/ZhangGongjie/SAM-DETR

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Paper: https://arxiv.org/abs/2203.01305
Code: https://github.com/FengLi-ust/DN-DETR
中文解读: https://mp.weixin.qq.com/s/xdMfZ_L628Ru1d1iaMny0w

Style Transformer for Image Inversion and Editing

Paper: https://arxiv.org/abs/2203.07932
Code: https://github.com/sapphire497/style-transformer

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

Paper: https://arxiv.org/abs/2203.10981
Code: https://github.com/kuanchihhuang/MonoDTR

Mask Transfiner for High-Quality Instance Segmentation

Paper: https://arxiv.org/abs/2111.13673
Code: https://github.com/SysCV/transfiner

视觉和语言(Vision-Language)

Conditional Prompt Learning for Vision-Language Models

Paper: https://arxiv.org/abs/2203.05557
Code: https://github.com/KaiyangZhou/CoOp

自监督学习(Self-supervised Learning)

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Paper: https://arxiv.org/abs/2203.06965
Code: None

Crafting Better Contrastive Views for Siamese Representation Learning

Paper: https://arxiv.org/abs/2202.03278
Code: https://github.com/xyupeng/ContrastiveCrop
中文解读：https://mp.weixin.qq.com/s/VTP9D5f7KG9vg30U9kVI2A

HCSC: Hierarchical Contrastive Selective Coding

Homepage: https://github.com/gyfastas/HCSC
Paper: https://arxiv.org/abs/2202.00455
中文解读: https://mp.weixin.qq.com/s/jkYR8mYp-e645qk8kfPNKQ

数据增强(Data Augmentation)

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

Paper: https://arxiv.org/abs/2202.12513
Code: https://github.com/DensoITLab/TeachAugment

AlignMix: Improving representation by interpolating aligned features

Paper: https://arxiv.org/abs/2103.15375
Code: None

目标检测(Object Detection)

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Paper: https://arxiv.org/abs/2203.01305
Code: https://github.com/FengLi-ust/DN-DETR
中文解读: https://mp.weixin.qq.com/s/xdMfZ_L628Ru1d1iaMny0w

Accelerating DETR Convergence via Semantic-Aligned Matching

Paper: https://arxiv.org/abs/2203.06883
Code: https://github.com/ZhangGongjie/SAM-DETR

Localization Distillation for Dense Object Detection

Paper: https://arxiv.org/abs/2102.12252
Code: https://github.com/HikariTJU/LD
Code2: https://github.com/HikariTJU/LD
中文解读：https://mp.weixin.qq.com/s/dxss8RjJH283h6IbPCT9vg

Focal and Global Knowledge Distillation for Detectors

Paper: https://arxiv.org/abs/2111.11837
Code: https://github.com/yzd-v/FGD
中文解读：https://mp.weixin.qq.com/s/yDkreTudC8JL2V2ETsADwQ

A Dual Weighting Label Assignment Scheme for Object Detection

Paper: https://arxiv.org/abs/2203.09730
Code: https://github.com/strongwolf/DW

目标跟踪(Visual Tracking)

Correlation-Aware Deep Tracking

Paper: https://arxiv.org/abs/2203.01666
Code: None

TCTrack: Temporal Contexts for Aerial Tracking

Paper: https://arxiv.org/abs/2203.01885
Code: https://github.com/vision4robotics/TCTrack

语义分割(Semantic Segmentation)

弱监督语义分割

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation

Paper: https://arxiv.org/abs/2203.00962
Code: https://github.com/zhaozhengChen/ReCAM

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

Paper: https://arxiv.org/abs/2203.02891
Code: https://github.com/xulianuwa/MCTformer

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

Paper: https://arxiv.org/abs/2203.02664
Code: https://github.com/rulixiang/afa

半监督语义分割

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Paper: https://arxiv.org/abs/2106.05095
Code: https://github.com/LiheYoung/ST-PlusPlus
中文解读：https://mp.weixin.qq.com/s/knSnlebdtEnmrkChGM_0CA

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

Homepage: https://haochen-wang409.github.io/U2PL/
Paper: https://arxiv.org/abs/2203.03884
Code: https://github.com/Haochen-Wang409/U2PL
中文解读: https://mp.weixin.qq.com/s/-08olqE7np8A1XQzt6HAgQ

无监督语义分割

GroupViT: Semantic Segmentation Emerges from Text Supervision

Homepage: https://jerryxu.net/GroupViT/
Paper: https://arxiv.org/abs/2202.11094
Demo: https://youtu.be/DtJsWIUTW-Y

实例分割(Instance Segmentation)

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

Paper: https://arxiv.org/abs/2203.04074
Code: https://github.com/zhang-tao-whu/e2ec

Mask Transfiner for High-Quality Instance Segmentation

Paper: https://arxiv.org/abs/2111.13673
Code: https://github.com/SysCV/transfiner

自监督实例分割

FreeSOLO: Learning to Segment Objects without Annotations

Paper: https://arxiv.org/abs/2202.12181
Code: None

视频实例分割

Efficient Video Instance Segmentation via Tracklet Query and Proposal

Homepage: https://jialianwu.com/projects/EfficientVIS.html
Paper: https://arxiv.org/abs/2203.01853
Demo: https://youtu.be/sSPMzgtMKCE

小样本分割(Few-Shot Segmentation)

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

Paper: https://arxiv.org/abs/2203.07615
Code: https://github.com/chunbolang/BAM

视频理解(Video Understanding)

Self-supervised Video Transformer

Homepage: https://kahnchana.github.io/svt/
Paper: https://arxiv.org/abs/2112.01514
Code: https://github.com/kahnchana/svt

行为识别(Action Recognition)

Spatio-temporal Relation Modeling for Few-shot Action Recognition

Paper: https://arxiv.org/abs/2112.05132
Code: https://github.com/Anirudh257/strm

动作检测(Action Detection)

End-to-End Semi-Supervised Learning for Video Action Detection

Paper: https://arxiv.org/abs/2203.04251
Code: None

图像编辑(Image Editing)

Style Transformer for Image Inversion and Editing

Paper: https://arxiv.org/abs/2203.07932
Code: https://github.com/sapphire497/style-transformer

Blended Diffusion for Text-driven Editing of Natural Images

Paper: https://arxiv.org/abs/2111.14818
Code: https://github.com/omriav/blended-diffusion

SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing

Homepage: https://semanticstylegan.github.io/
Paper: https://arxiv.org/abs/2112.02236
Demo: https://semanticstylegan.github.io/videos/demo.mp4

Low-level Vision

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

Paper: https://arxiv.org/abs/2111.15362
Code: None

Restormer: Efficient Transformer for High-Resolution Image Restoration

Paper: https://arxiv.org/abs/2111.09881
Code: https://github.com/swz30/Restormer

超分辨率(Super-Resolution)

图像超分辨率(Image Super-Resolution)

Learning the Degradation Distribution for Blind Image Super-Resolution

Paper: https://arxiv.org/abs/2203.04962
Code: https://github.com/greatlog/UnpairedSR

视频超分辨率(Video Super-Resolution)

BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

Paper: https://arxiv.org/abs/2104.13371
Code: https://github.com/open-mmlab/mmediting
Code: https://github.com/ckkelvinchan/BasicVSR_PlusPlus
中文解读：https://mp.weixin.qq.com/s/HZTwYfphixyLHxlbCAxx4g

3D点云(3D Point Cloud)

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Homepage: https://point-bert.ivg-research.xyz/
Paper: https://arxiv.org/abs/2111.14819
Code: https://github.com/lulutang0608/Point-BERT

A Unified Query-based Paradigm for Point Cloud Understanding

Paper: https://arxiv.org/abs/2203.01252
Code: None

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

Paper: https://arxiv.org/abs/2203.00680
Code: https://github.com/MohamedAfham/CrossPoint

PointCLIP: Point Cloud Understanding by CLIP

Paper: https://arxiv.org/abs/2112.02413
Code: https://github.com/ZrrSkywalker/PointCLIP

3D目标检测(3D Object Detection)

Embracing Single Stride 3D Object Detector with Sparse Transformer

Paper: https://arxiv.org/abs/2112.06375
Code: https://github.com/TuSimple/SST

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

Paper: https://arxiv.org/abs/2011.12001
Code: https://github.com/qq456cvb/CanonicalVoting

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

Paper: https://arxiv.org/abs/2203.10981
Code: https://github.com/kuanchihhuang/MonoDTR

3D语义分割(3D Semantic Segmentation)

Scribble-Supervised LiDAR Semantic Segmentation

Paper: https://arxiv.org/abs/2203.08537
Dataset: https://github.com/ouenal/scribblekitti

3D目标跟踪(3D Object Tracking)

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

Paper: https://arxiv.org/abs/2203.01730
Code: https://github.com/Ghostish/Open3DSOT

3D人体姿态估计(3D Human Pose Estimation)

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

Paper: https://arxiv.org/abs/2111.12707
Code: https://github.com/Vegetebird/MHFormer
中文解读: https://zhuanlan.zhihu.com/p/439459426

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

Paper: https://arxiv.org/abs/2203.00859
Code: None

3D语义场景补全(3D Semantic Scene Completion)

MonoScene: Monocular 3D Semantic Scene Completion

Paper: https://arxiv.org/abs/2112.00726
Code: https://github.com/cv-rits/MonoScene

3D重建(3D Reconstruction)

BANMo: Building Animatable 3D Neural Models from Many Casual Videos

Homepage: https://banmo-www.github.io/
Paper: https://arxiv.org/abs/2112.12761
Code: https://github.com/facebookresearch/banmo
中文解读：https://mp.weixin.qq.com/s/NMHP8-xWwrX40vpGx55Qew

伪装物体检测(Camouflaged Object Detection)

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection

Paper: https://arxiv.org/abs/2203.02688
Code: https://github.com/lartpang/ZoomNet

深度估计(Depth Estimation)

单目深度估计

NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation

Paper: https://arxiv.org/abs/2203.01502
Code: None

OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion

Paper: https://arxiv.org/abs/2203.00838
Code: None

Toward Practical Self-Supervised Monocular Indoor Depth Estimation

Paper: https://arxiv.org/abs/2112.02306
Code: None

立体匹配(Stereo Matching)

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Paper: https://arxiv.org/abs/2203.02146
Code: https://github.com/gangweiX/ACVNet

车道线检测(Lane Detection)

Rethinking Efficient Lane Detection via Curve Modeling

Paper: https://arxiv.org/abs/2203.02431
Code: https://github.com/voldemortX/pytorch-auto-drive
Demo：https://user-images.githubusercontent.com/32259501/148680744-a18793cd-f437-461f-8c3a-b909c9931709.mp4

图像修复(Image Inpainting)

Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

Paper: https://arxiv.org/abs/2203.00867
Code: https://github.com/DQiaole/ZITS_inpainting

人群计数(Crowd Counting)

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Paper: https://arxiv.org/abs/2103.16291
Code: None

医学图像(Medical Image)

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

Paper: https://arxiv.org/abs/2203.02533
Code: None

场景图生成(Scene Graph Generation)

SGTR: End-to-end Scene Graph Generation with Transformer

Paper: https://arxiv.org/abs/2112.12970
Code: None

风格迁移(Style Transfer)

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions

Homepage: https://lukashoel.github.io/stylemesh/
Paper: https://arxiv.org/abs/2112.01530
Code: https://github.com/lukasHoel/stylemesh
Demo：https://www.youtube.com/watch?v=ZqgiTLcNcks

弱监督物体检测(Weakly Supervised Object Localization)

Weakly Supervised Object Localization as Domain Adaption

Paper: https://arxiv.org/abs/2203.01714
Code: https://github.com/zh460045050/DA-WSOL_CVPR2022

高光谱图像重建(Hyperspectral Image Reconstruction)

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Paper: https://arxiv.org/abs/2111.07910
Code: https://github.com/caiyuanhao1998/MST

水印(Watermarking)

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings

Paper: https://arxiv.org/abs/2104.13450
Code: None

数据集(Datasets)

It's About Time: Analog Clock Reading in the Wild

Homepage: https://charigyang.github.io/abouttime/
Paper: https://arxiv.org/abs/2111.09162
Code: https://github.com/charigyang/itsabouttime
Demo: https://youtu.be/cbiMACA6dRc

Toward Practical Self-Supervised Monocular Indoor Depth Estimation

Paper: https://arxiv.org/abs/2112.02306
Code: None

Kubric: A scalable dataset generator

Paper: https://arxiv.org/abs/2203.03570
Code: https://github.com/google-research/kubric

Scribble-Supervised LiDAR Semantic Segmentation

Paper: https://arxiv.org/abs/2203.08537
Dataset: https://github.com/ouenal/scribblekitti

新任务(New Task)

Language-based Video Editing via Multi-Modal Multi-Level Transformer

Paper: https://arxiv.org/abs/2104.01122
Code: None

It's About Time: Analog Clock Reading in the Wild

Homepage: https://charigyang.github.io/abouttime/
Paper: https://arxiv.org/abs/2111.09162
Code: https://github.com/charigyang/itsabouttime
Demo: https://youtu.be/cbiMACA6dRc

Splicing ViT Features for Semantic Appearance Transfer

Homepage: https://splice-vit.github.io/
Paper: https://arxiv.org/abs/2201.00424
Code: https://github.com/omerbt/Splice

其他(Others)

Kubric: A scalable dataset generator

Paper: https://arxiv.org/abs/2203.03570
Code: https://github.com/google-research/kubric

机器学习算法AI大数据技术

搜索公众号添加： datanlp

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