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ranet

RANet: Ranking Attention Network for Fast Video Object Segmentation (VOS), ICCV2019

rdsnet

implement for paper: "RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation"

readme

README文件语法解读，即Github Flavored Markdown语法介绍

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

refinedet

Single-Shot Refinement Neural Network for Object Detection

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

relation-networks-for-object-detection

Relation Networks for Object Detection

reppoints

Represent Visual Objects by Point Sets

representation-flow-cvpr19

Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"

repulsion_loss_ssd

Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

res2net

The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

research-papers

resnest

ResNeSt: Split-Attention Network

resnetgpt

用Resnet101+GPT搭建一个玩王者荣耀的AI

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

rest

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

rfbnet

rnan

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

rnn-trajmodel

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

roialign-roipool-pytorch

C++ extension implementation of RoIAlign & RolPool (both GPU and CPU) for PyTorch

rpan

Our implementation of Recurrent Pose Attention in Du et al.: "RPAN: An End-to-End Recurrent Pose-attention Network for Action Recognition in Videos"

rsn

s2cnn

Spherical CNNs

s3d.pytorch

Spatiotemporal-separable 3D convolution network.

s3n

scale-time-lattice

Code for our CVPR 2018 paper "Optimizing Video Object Detection via a Scale-Time Lattice".

scene-graph-benchmark.pytorch

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 paper "Unbiased Scene Graph Generation from Biased Training"

scops

SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)

scut_fir_pedestrian_dataset

A new benchmark dataset and baseline for on-road FIR pedestrian detection