sjam-aj's Stars
xqZhang-Strong/Human-Falling-Detect-Tracks-master
用yoloV3进行人的侦测,再用SPPE(Alphapose)进行骨架提取,再用连续30帧的ST-GCN进行行为识别。站立、走路、跌倒行为识别,在https://github.com/GajuuzZ/Human-Falling-Detect-Tracks的./models里面添加好了模型
stnoah1/infogcn
Official implementation for "InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition"
MartinXM/GAP
official implementation for Language Supervised Training for Skeleton-based Action Recognition
skelemoa/psumnet
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
hulianyuyy/STGAT
Skeleton-Based Action Recognition with Local Dynamic Spatial-Temporal Aggregation (Expert Systems with Applications 2023) (Previous name: Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition)
OrdinaryQin/TCA-GCN
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
MCG-NJU/VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
open-mmlab/mmcv
OpenMMLab Computer Vision Foundation
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
blackAndrechen/data_mine
Apriori and fp-growth implement of python
DWCTOD/CVPR2024-Papers-with-Code-Demo
收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!
d-li14/involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
iesymiao/CD-GCN
qtwang0035/IIP-Transformer
IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based ActionRecognition
houqb/CoordAttention
Code for our CVPR2021 paper coordinate attention
microsoft/SGN
This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Chiaraplizz/ST-TR
Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition
Uason-Chen/CTR-GCN
[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"
open-mmlab/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
kchengiva/DecoupleGCN-DropGraph
The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).
kenziyuliu/DGNN-PyTorch
Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".
lshiwjx/2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
limaosen0/AS-GCN
The model architecture of AS-GCN (for human action recognition)
kenziyuliu/MS-G3D
[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"
kchengiva/Shift-GCN
The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).
tsuirak/skills
个人的技能树仓库,主要包含个人机器学习以及深度学习的笔记