VIP內容

CVPR2020-Code

CVPR 2020 論文開源項目合集,同時歡迎各位大佬提交issue,分享CVPR 2020開源項目

圖像分類

Spatially Attentive Output Layer for Image Classification

目標檢測

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

BiDet: An Efficient Binarized Object Detector

3D目標檢測

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

目標跟蹤

MAST: A Memory-Augmented Self-supervised Tracker

語義分割

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

實例分割

PolarMask: Single Shot Instance Segmentation with Polar Representation

CenterMask : Real-Time Anchor-Free Instance Segmentation

Deep Snake for Real-Time Instance Segmentation

視頻目標分割

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點雲

點雲卷積

FPConv: Learning Local Flattening for Point Convolution

3D點雲配準

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

人臉檢測

活體檢測

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

人臉表情識別

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

人體姿態估計

2D人體姿態估計

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

Distribution-Aware Coordinate Representation for Human Pose Estimation

3D人體姿態估計

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

點雲

點雲分類

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

場景文本檢測

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

場景文本識別

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

超分辨率

視頻超分辨率

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

行為識別

人群計數

深度估計

單目深度估計

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

去模糊

視頻去模糊

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

視覺問答

視覺問答

VC R-CNN:Visual Commonsense R-CNN

視覺語言導航

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

視頻壓縮

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

行人軌跡預測

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

數據集

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

成為VIP會員查看完整內容
0
40
3

最新內容

#我在微博讀論文#【新型CRISPR:基因編輯,從幾小時到幾秒】

CRISPR是目前最常用的基因編輯技術,它可以識別目標的DNA序列,對其進行剪切和修改。剪切有時需要數小時之久,而在本周《科學》雜誌上,科學家們製造了“快速CRISPR”(Very Fast CRISPR),可以將這個過程縮短到幾秒鍾。

CRISPR有幾種不... 全文

0
0
0
子主題
Top