https://github.com/HumamAlwassel/TSP
공식 코드TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
Papers with Code 아카이브
Temporal Action Proposal Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MCG-NJU/RTD-Action
공식 코드Relaxed Transformer Decoders for Direct Action Proposal Generation
https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/video/models/bmn
공식 코드BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/handhand123/prsa-net
공식 코드Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
https://github.com/happy-lifi/BCNet
공식 코드Temporal Action Proposal Generation with Background Constraint
https://github.com/jiyanggao/CTAP
공식 코드https://github.com/liluxuan1997/DPP
공식 코드https://github.com/uark-aicv/aoe-net
공식 코드https://github.com/v-iashin/BMT
공식 코드A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer
https://github.com/vhvkhoa/TAPG-AgentEnvNetwork
공식 코드ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
https://github.com/vhvkhoa/tapg-agentenvinteration
공식 코드AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
https://github.com/wzmsltw/BSN-boundary-sensitive-network.pytorch
공식 코드BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/2023-MindSpore-1/ms-code-17/tree/main/BMN
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/2023-MindSpore-4/Code8/tree/main/BMN
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/2024-MindSpore-1/Code6/tree/main/BMN
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/Andrew-booler/BSN-ActivityNet
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/Frostinassiky/gtad
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/HoganZhang/BSN-boundary-sensitive-network.pytorch
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/JJBOY/BMN-Boundary-Matching-Network
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/Lechatelia/action-proposal-generation
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/MindSpore-paper-code-3/code6/tree/main/BMN
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/Ontheway361/BSN_pytorch
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/zh-CN/model_zoo/localization/bmn.md
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/video/models/bsn
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/PaddlePaddle/models/tree/develop/dygraph/bmn
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/Tencent/ActionDetection-DBG
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/WangChen0902/BSN
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/ZhangNYG/BSN
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/carpedkm/G_TAD_customizing
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/coolbay/VSGN
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/guilk/diva
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/hyperfraise/end-to-end-BSN.pytorch
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/open-mmlab/mmaction2
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/qingzhiwu/Temporal-Context-Aggregation-Network-Pytorch
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
https://github.com/rainyBJ/RTD_RePro
Relaxed Transformer Decoders for Direct Action Proposal Generation
https://github.com/v-iashin/video_features
A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.