https://github.com/zhejz/trafficbotsv1.5
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Papers with Code 아카이브
Temporal Action Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 8
- 평가표
- 14
- 보존된 평가 기록
- 125
Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zheng-ningxin/Pruning-from-scratch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/zhenyangli/VideoLSTM
VideoLSTM Convolves, Attends and Flows for Action Recognition
https://github.com/zhiqiang00/Hon-GCN
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/zhoubolei/moments_models
Moments in Time Dataset: one million videos for event understanding
https://github.com/ziwei-zheng/nullu
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
https://github.com/zjsong/sspl
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/zqzqz/AdvTrajectoryPrediction
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
https://github.com/zxhhh97/ABot
https://github.com/zzy123abc/BSN-boundary-sensitive-network-master
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://gitlab.com/birder/birder
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://gitlab.com/williamsdaniel888/valma
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://huggingface.co/spaces/DFisch/Image-Manipulation-Detection
DF-Net: The Digital Forensics Network for Image Forgery Detection
https://zenodo.org/record/8142658
DF-Net: The Digital Forensics Network for Image Forgery Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.