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ctr-gcn

[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

darknet

Convolutional Neural Networks

dgnn-pytorch

Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

pose-sttran

本科毕业设计，基于STTran的魔改版本，将姿态特征引入场景图的生成过程，同时使用成分句法分析得到动作的显著性排序。

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stgcn_light_op

sttran

Spatial-Temporal Transformer for Dynamic Scene Graph Generation, ICCV2021