Papers with Code 아카이브

3D Action Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

3

보존된 평가 기록

13

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/YiruS/pointnet_adversarial

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/Young98CN/pointconv_pytorch

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/YunseobShin/wiki_GAT

Graph Attention Networks

https://github.com/Yuto0107/pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/ZJUT-ERCISS/zjut_mindvideo/blob/master/msvideo/models/i3d.py

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/ZeinabRahbar/Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ZhangNYG/ST-GCN

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/ZhiHanZ/IRIS0-SPAN

https://github.com/ZhihaoZhu/PointNet-Implementation-Tensorflow

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/abhilash1910/GraphAttentionNetworks

Graph Attention Networks

https://github.com/abi-kothapalli/minimumdominatingsets

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/agethen/RPAN

https://github.com/ahmed-anas/thesis-pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/ahsaniqbal/Kinetics-FeatureExtractor

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/aidarikako/JMDA

https://github.com/aim3-ruc/youmakeup_challenge2022

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/aimerykong/predictive-filter-flow

Multigrid Predictive Filter Flow for Unsupervised Learning on Videos

https://github.com/ajbisberg/gcn

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

https://github.com/ajertec/PointNetKeras

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/ajhamdi/AdvPC

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/ak24watch/Graph-Deeplearning-GAT

Graph Attention Networks

https://github.com/akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

Graph Attention Networks

https://github.com/alexOarga/haiku-geometric

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ali-stanford/pointnetcfd

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/alililia/ms_contrib/tree/main/ascend_gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/alililia/ms_contrib/tree/main/gpu_gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/alpemek/ais3d

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/amcs1729/Predicting-cloud-CPU-usage-on-Azure-data

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

https://github.com/amira-mira/RA-GCNv22

Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons

https://github.com/amyllykoski/CycleGAN

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/anish-lu-yihe/SVRT-by-GAT

Graph Attention Networks

https://github.com/anonymous-p/Flickering_Adversarial_Video

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/antoniolq/st-gcn

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/arangoml/fastgraphml

Graph Attention Networks

https://github.com/ashikkapadiya/Video-Motion-Retargeting

Learning Character-Agnostic Motion for Motion Retargeting in 2D

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.