Papers with Code 아카이브

Action Detection

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하위 태스크: 8
평가표: 11
보존된 평가 기록: 81

Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.

코드

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

https://github.com/IllinoisGraphBenchmark/IGB-Datasets

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/InSpaceAI/RL-Zoo

Continuous control with deep reinforcement learning

https://github.com/InwoongLee/TS-LSTM

https://github.com/IvanVigor/Deep-Deterministic-Policy-Gradient-Unity-Env

Continuous control with deep reinforcement learning

https://github.com/IvanVigor/MADDPG-Unity

Continuous control with deep reinforcement learning

https://github.com/J93T/TP4-DDPG

Continuous control with deep reinforcement learning

https://github.com/JJBOY/BMN-Boundary-Matching-Network

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

https://github.com/JL321/mujo-2DHalf-Cheetah

Continuous control with deep reinforcement learning

https://github.com/JL321/mujo-2DWalker

Continuous control with deep reinforcement learning

https://github.com/JP1016/presence_detection_cnn

Harvesting Ambient RF for Presence Detection Through Deep Learning

https://github.com/Jagyan/ghost_radarpoint_detection

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

https://github.com/Javed002/Object_detection_PointNet

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

https://github.com/JeffCHEN2017/WSSTG

Finding Action Tubes

https://github.com/Jo0o0Hyung/Dual-Attention-for-VAD

Dual Attention in Time and Frequency Domain for Voice Activity Detection

https://github.com/JonasRSV/DDPG

Continuous control with deep reinforcement learning

https://github.com/JonasRSV/PGTensorflow

Continuous control with deep reinforcement learning

https://github.com/JorgeA-RD/Reinforcement-Learning-Agents/tree/main/DDPG

Continuous control with deep reinforcement learning

https://github.com/JunweiLiang/Object_Detection_Tracking

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video

https://github.com/JunweiLiang/social-distancing-prediction

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video

https://github.com/KAIST-AILab/deeprl_practice_colab

Continuous control with deep reinforcement learning

https://github.com/KaidongLi/tf-3d-alpha

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

https://github.com/Kaimaoge/IGNNK

Graph Attention Networks

https://github.com/KelvinYang0320/deepbots-panda

Continuous control with deep reinforcement learning

https://github.com/KennCoder7/Recurrent-Attention-Network-for-HAR

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks

https://github.com/KhusDM/PointNetTree

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

https://github.com/Kikumu/Reinforcement-Learning-repo

Continuous control with deep reinforcement learning

https://github.com/KimMeen/GCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/KingGugu/I3D

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

https://github.com/KiranAkadas/My_Pointnet_v2

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

https://github.com/KrisLee512/ST-GCN

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/Kristof-Neys/GAT_Neo4j_DGL

Graph Attention Networks

https://github.com/LM095/DDPG-implementation

Continuous control with deep reinforcement learning

https://github.com/LONG-9621/Extract_Point_3D

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

https://github.com/LONG-9621/PointNet

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

https://github.com/LebronGG/PointNet

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

https://github.com/Lechatelia/SSN

Temporal Action Detection with Structured Segment Networks

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