CVPR2020-Code

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

图像分类

Spatially Attentive Output Layer for Image Classification

目标检测

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

BiDet: An Efficient Binarized Object Detector

3D目标检测

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

目标跟踪

MAST: A Memory-Augmented Self-supervised Tracker

语义分割

Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks

实例分割

PolarMask: Single Shot Instance Segmentation with Polar Representation

CenterMask : Real-Time Anchor-Free Instance Segmentation

Deep Snake for Real-Time Instance Segmentation

视频目标分割

State-Aware Tracker for Real-Time Video Object Segmentation

Learning Fast and Robust Target Models for Video Object Segmentation

NAS

Rethinking Performance Estimation in Neural Architecture Search

CARS: Continuous Evolution for Efficient Neural Architecture Search

GAN

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

Re-ID

Weakly supervised discriminative feature learning with state information for person identification

3D点云

点云卷积

FPConv: Learning Local Flattening for Point Convolution

3D点云配准

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

人脸检测

活体检测

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

人脸表情识别

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

人体姿态估计

2D人体姿态估计

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

Distribution-Aware Coordinate Representation for Human Pose Estimation

3D人体姿态估计

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

VIBE: Video Inference for Human Body Pose and Shape Estimation

Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS

点云

点云分类

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

场景文本检测

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

场景文本识别

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

超分辨率

视频超分辨率

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

模型剪枝

HRank: Filter Pruning using High-Rank Feature Map

行为识别

人群计数

深度估计

单目深度估计

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation

去模糊

视频去模糊

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

视觉问答

视觉问答

VC R-CNN:Visual Commonsense R-CNN

视觉语言导航

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

视频压缩

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

行人轨迹预测

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

数据集

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS

其他

GhostNet: More Features from Cheap Operations

AdderNet: Do We Really Need Multiplications in Deep Learning?

Deep Image Harmonization via Domain Verification

Blurry Video Frame Interpolation

Extremely Dense Point Correspondences using a Learned Feature Descriptor

Filter Grafting for Deep Neural Networks

Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

Detecting Attended Visual Targets in Video

Deep Image Spatial Transformation for Person Image Generation

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

https://github.com/charlesCXK/3D-SketchAware-SSC

https://github.com/Anonymous20192020/Anonymous_CVPR5767

https://github.com/avirambh/ScopeFlow

https://github.com/csbhr/CDVD-TSP

https://github.com/ymcidence/TBH

https://github.com/yaoyao-liu/mnemonics

https://github.com/meder411/Tangent-Images

https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch

https://github.com/sjmoran/deep_local_parametric_filters

https://github.com/charlesCXK/3D-SketchAware-SSC

https://github.com/bermanmaxim/AOWS

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CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. CVPR 2020 will take place at The Washington State Convention Center in Seattle, WA, from June 16 to June 20, 2020. http://cvpr2020.thecvf.com/
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