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CVPR2020最全整理:分方向论文下载,Github源码、论文解读等[计算机视觉][目标检测]

發(fā)布時(shí)間:2025/3/8 编程问答 31 豆豆
生活随笔 收集整理的這篇文章主要介紹了 CVPR2020最全整理:分方向论文下载,Github源码、论文解读等[计算机视觉][目标检测] 小編覺得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.

CVPR2020在2月24日公布了所有接受論文ID,相關(guān)報(bào)道:1470篇!CVPR2020結(jié)果出爐,你中了嗎?(附部分論文鏈接/開源代碼/解讀)。自論文ID公布以來,許多開發(fā)者都分享了自己的優(yōu)秀工作。

從論文ID公布以來,極市一直在對(duì)CVPR進(jìn)行實(shí)時(shí)跟進(jìn),本文是對(duì)80篇CVPR2020論文整理和分類,均有論文鏈接,部分含開源代碼,涵蓋的方向有:目標(biāo)檢測(cè)、目標(biāo)跟蹤、圖像分割、人臉識(shí)別、姿態(tài)估計(jì)、三維點(diǎn)云、視頻分析、模型加速、GAN、OCR等方向,還有論文合集打包下載,分享給大家學(xué)習(xí)。

此外,我們也會(huì)在Github和極市社區(qū)上保持更新,歡迎大家關(guān)注:
https://github.com/extreme-assistant/cvpr2020/blob/master/CVPR2020.md

關(guān)注極市平臺(tái),回復(fù)CVPR2020,獲取CVPR2020論文合集下載鏈接。
聲明:本文為極市平臺(tái)原創(chuàng)整理,未經(jīng)許可,不得擅自轉(zhuǎn)載。


目錄(點(diǎn)擊標(biāo)題即可跳轉(zhuǎn))

1. 目標(biāo)檢測(cè)

2. 圖像分割

3. 人臉識(shí)別

4. 目標(biāo)跟蹤

5. 三維點(diǎn)云/三維重建

6. 圖像處理

7. 圖像分類

8. 姿態(tài)估計(jì)/動(dòng)作識(shí)別

9. 視頻分析

10. OCR

11. GAN

12. 小樣本/零樣本

13. 弱監(jiān)督/無監(jiān)督/自監(jiān)督

14. 行人跟蹤/行人檢測(cè)/ReID

15. 神經(jīng)網(wǎng)絡(luò)/模型加速/模型壓縮

16. 超分辨率

17. 視覺常識(shí)



1. 目標(biāo)檢測(cè)

  • Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

    論文地址:https://arxiv.org/abs/1912.02424

    代碼:https://github.com/sfzhang15/ATSS

  • Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

    論文地址:https://arxiv.org/abs/1908.01998



  • 圖像分割

  • Semi-Supervised Semantic Image Segmentation with Self-correcting Networks

    論文地址:https://arxiv.org/abs/1811.07073

  • Deep Snake for Real-Time Instance Segmentation

    論文地址:https://arxiv.org/abs/2001.01629

  • CenterMask : Real-Time Anchor-Free Instance Segmentation

    論文地址:https://arxiv.org/abs/1911.06667

    代碼:https://github.com/youngwanLEE/CenterMask

  • SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks

    論文地址:https://arxiv.org/abs/2003.00678

  • PolarMask: Single Shot Instance Segmentation with Polar Representation

    論文地址:https://arxiv.org/abs/1909.13226

    代碼:https://github.com/xieenze/PolarMask

  • xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

    論文地址:https://arxiv.org/abs/1911.12676

  • BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

    論文地址:https://arxiv.org/abs/2001.00309



  • 人臉識(shí)別

  • Towards Universal Representation Learning for Deep Face Recognition

    論文地址:https://arxiv.org/abs/2002.11841

  • Suppressing Uncertainties for Large-Scale Facial Expression Recognition

    論文地址:https://arxiv.org/abs/2002.10392

    代碼:https://github.com/kaiwang960112/Self-Cure-Network

  • Face X-ray for More General Face Forgery Detection

    論文地址:https://arxiv.org/pdf/1912.13458.pdf



  • 目標(biāo)跟蹤

  • ROAM: Recurrently Optimizing Tracking Model

    論文地址:https://arxiv.org/abs/1907.12006



  • 三維點(diǎn)云&重建

  • PF-Net: Point Fractal Network for 3D Point Cloud Completion

    論文地址:https://arxiv.org/abs/2003.00410

  • PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

    論文地址:https://arxiv.org/abs/2002.10876

    代碼:https://github.com/liruihui/PointAugment/

  • Learning multiview 3D point cloud registration

    論文地址:https://arxiv.org/abs/2001.05119

  • C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

    論文地址:https://arxiv.org/abs/1912.07009

  • RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

    論文地址:https://arxiv.org/abs/1911.11236

  • Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

    論文地址:https://arxiv.org/abs/2002.12212

  • Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

    論文地址:https://arxiv.org/abs/2003.01456

  • In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks

    論文地址:https://arxiv.org/pdf/1911.11924.pdf

  • Attentive Context Normalization for Robust Permutation-Equivariant Learning

    論文地址:https://arxiv.org/abs/1907.02545 Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi

  • 10.PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes

    https://arxiv.org/abs/1911.10949



    圖像處理

  • Learning to Shade Hand-drawn Sketches

    論文地址:https://arxiv.org/abs/2002.11812

  • Single Image Reflection Removal through Cascaded Refinement

    論文地址:https://arxiv.org/abs/1911.06634

  • Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

    論文地址:https://arxiv.org/abs/2002.11297

  • Deep Image Harmonization via Domain Verification

    論文地址:https://arxiv.org/abs/1911.13239

    代碼:https://github.com/bcmi/Image_Harmonization_Datasets

  • RoutedFusion: Learning Real-time Depth Map Fusion

    論文地址:https://arxiv.org/pdf/2001.04388.pdf


  • 圖像分類

  • Self-training with Noisy Student improves ImageNet classification

    論文地址:https://arxiv.org/abs/1911.04252

  • Image Matching across Wide Baselines: From Paper to Practice

    論文地址:https://arxiv.org/abs/2003.01587

  • Towards Robust Image Classification Using Sequential Attention Models

    論文地址:https://arxiv.org/abs/1912.02184

  • Learning in the Frequency Domain

    論文地址:https://arxiv.org/abs/2002.12416

  • Learning from Web Data with Memory Module

    論文地址:https://arxiv.org/abs/1906.12028

  • Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

    論文地址:https://arxiv.org/abs/1912.09393



  • 姿態(tài)估計(jì)/動(dòng)作識(shí)別

  • VIBE: Video Inference for Human Body Pose and Shape Estimation

    論文地址:https://arxiv.org/abs/1912.05656

    代碼:https://github.com/mkocabas/VIBE

  • Distribution-Aware Coordinate Representation for Human Pose Estimation

    論文地址:https://arxiv.org/abs/1910.06278

    代碼:https://github.com/ilovepose/DarkPose

  • 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras

    論文地址:https://arxiv.org/abs/2002.12625

  • Optimal least-squares solution to the hand-eye calibration problem

    論文地址:https://arxiv.org/abs/2002.10838

  • D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

    論文地址:https://arxiv.org/abs/2003.01060

  • Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

    論文地址:https://arxiv.org/abs/2001.09691

  • Distribution Aware Coordinate Representation for Human Pose Estimation

    論文地址:https://arxiv.org/abs/1910.06278

  • The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

    論文地址:https://arxiv.org/abs/1911.07524

  • PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

    論文地址:https://arxiv.org/abs/1911.04231

  • Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

    論文地址:https://arxiv.org/abs/2003.02824



  • 視頻分析

  • Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

    論文地址:https://arxiv.org/abs/2003.01455

    代碼:https://github.com/bbrattoli/ZeroShotVideoClassification

  • Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs

    論文地址:https://arxiv.org/abs/2003.00387

  • Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

    論文地址:https://arxiv.org/abs/2003.00392

  • Object Relational Graph with Teacher-Recommended Learning for Video Captioning

    論文地址:https://arxiv.org/abs/2002.11566

  • Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

    論文地址:https://arxiv.org/abs/2002.11616

  • Blurry Video Frame Interpolation

    論文地址:https://arxiv.org/abs/2002.12259

  • Hierarchical Conditional Relation Networks for Video Question Answering

    論文地址:https://arxiv.org/abs/2002.10698

  • Action Modifiers:Learning from Adverbs in Instructional Video

    論文地址:https://arxiv.org/abs/1912.06617



  • OCR

  • ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

    論文地址:https://arxiv.org/abs/2002.10200

    代碼:https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet



  • GAN

  • Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

    論文地址:https://arxiv.org/abs/1911.12287

    代碼:https://github.com/giannisdaras/ylg

  • MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis

    論文地址:https://arxiv.org/abs/1903.06048

  • Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory

    論文地址:https://arxiv.org/abs/1911.04636



  • 小樣本/零樣本

  • Improved Few-Shot Visual Classification

    論文地址:https://arxiv.org/pdf/1912.03432.pdf

  • 2.Meta-Transfer Learning for Zero-Shot Super-Resolution

    論文地址:https://arxiv.org/abs/2002.12213



    弱監(jiān)督/無監(jiān)督/自監(jiān)督

  • Rethinking the Route Towards Weakly Supervised Object Localization

    論文地址:https://arxiv.org/abs/2002.11359

  • NestedVAE: Isolating Common Factors via Weak Supervision

    論文地址:https://arxiv.org/abs/2002.11576

  • Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation

    論文地址:https://arxiv.org/abs/1911.07450

  • Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

    論文地址:https://arxiv.org/abs/2003.01460

  • ClusterFit: Improving Generalization of Visual Representations

    論文地址:https://arxiv.org/abs/1912.03330

  • Auto-Encoding Twin-Bottleneck Hashing

    論文地址:https://arxiv.org/abs/2002.11930

  • Learning Representations by Predicting Bags of Visual Words

    論文地址:https://arxiv.org/abs/2002.12247

  • A Characteristic Function Approach to Deep Implicit Generative Modeling

    論文地址:https://arxiv.org/abs/1909.07425



  • 行人跟蹤/行人檢測(cè)/ReID

  • Cross-modality Person re-identification with Shared-Specific Feature Transfer

    論文地址:https://arxiv.org/abs/2002.12489

  • 2.Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

    論文地址:https://arxiv.org/abs/2002.11927

    3.The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

    論文地址:https://arxiv.org/abs/1912.06445



    神經(jīng)網(wǎng)絡(luò)/模型壓縮/模型加速

  • GhostNet: More Features from Cheap Operations

    論文地址:https://arxiv.org/abs/1911.11907

    代碼:https://github.com/iamhankai/ghostnet

  • Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral

    論文地址:https://arxiv.org/abs/2003.01826

  • GPU-Accelerated Mobile Multi-view Style Transfer

    論文地址:https://arxiv.org/abs/2003.00706

  • Bundle Adjustment on a Graph Processor

    論文地址:https://arxiv.org/abs/2003.03134

    代碼:https://github.com/joeaortiz/gbp

  • Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral

    論文地址:https://arxiv.org/abs/2003.01826

  • Holistically-Attracted Wireframe Parsing

    論文地址:https://arxiv.org/abs/2003.01663

  • AdderNet: Do We Really Need Multiplications in Deep Learning?

    論文地址:https://arxiv.org/abs/1912.13200

  • CARS: Contunuous Evolution for Efficient Neural Architecture Search

    論文地址:https://arxiv.org/abs/1909.04977

    代碼:https://github.com/huawei-noah/CARS

  • Π-nets: Deep Polynomial Neural Networksv

    論文地址:https://arxiv.org/abs/2003.03828



  • 超分辨率

  • Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

    論文地址:https://arxiv.org/abs/2002.11616



  • 視覺常識(shí)

  • Visual Commonsense R-CNN

    論文地址:https://arxiv.org/abs/2002.12204

    代碼:https://github.com/Wangt-CN/VC-R-CNN

  • Scalable Uncertainty for Computer Vision with Functional Variational Inference

    論文地址:https://arxiv.org/abs/2003.03396

  • Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

    論文地址:https://arxiv.org/abs/2002.10826

  • Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs

    論文地址:https://arxiv.org/abs/2003.00287

  • Filter Grafting for Deep Neural Networks

    論文地址:https://arxiv.org/abs/2001.05868

    代碼:https://github.com/fxmeng/filter-grafting.git

  • 12-in-1: Multi-Task Vision and Language Representation Learning

    論文地址:https://arxiv.org/abs/1912.02315

  • Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

    論文地址:https://arxiv.org/abs/2002.10638

    代碼:https://github.com/weituo12321/PREVALENT

  • Unbiased Scene Graph Generation from Biased Training

    論文地址:https://arxiv.org/abs/2002.11949

  • 總結(jié)

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