Temporal Action Localization
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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/microsoft/tensorwatch
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공식 코드https://github.com/mjkwon2021/cat-net
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공식 코드Neighboring Perturbations of Knowledge Editing on Large Language Models
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공식 코드https://github.com/mkaep/transformer-explainability
공식 코드Attention Please: What Transformer Models Really Learn for Process Prediction
https://github.com/mks0601/IntegralAction_RELEASE
공식 코드IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos
https://github.com/ml-jku/clamp
공식 코드Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
https://github.com/ml-postech/skeleton-anonymization
공식 코드https://github.com/mmahdavian/stpotr
공식 코드https://github.com/mohsenzand/motionflow
공식 코드Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics
https://github.com/moonlight52137/st-vgcn
공식 코드Improving Skeleton-based Action Recognition with Interactive Object Information
https://github.com/musicalOffering/ActionSwitch-release
공식 코드ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
https://github.com/musicalOffering/sola
공식 코드https://github.com/mv-lab/youtube8m-19
공식 코드Multi-attention Networks for Temporal Localization of Video-level Labels
https://github.com/mxahan/nev-ncd
공식 코드https://github.com/nachiket92/PGP
공식 코드Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
https://github.com/nail-hnu/esvo2
공식 코드ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras
https://github.com/naraysa/3c-net
공식 코드3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
https://github.com/naraysa/D2-Net
공식 코드D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
https://github.com/naraysa/gzsl-od
공식 코드Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
https://github.com/naver-ai/tc-clip
공식 코드Leveraging Temporal Contextualization for Video Action Recognition
https://github.com/nawidsayed/Cross-and-Learn
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https://github.com/nazmul-karim170/NFT-Augmented-Backdoor-Purification
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https://github.com/nbahador/-fine_tuned_gpt2_model_on_epilepsy_related_pubmed_abstracts
공식 코드https://github.com/ncgarcia/DMCL
공식 코드DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
https://github.com/ncgarcia/modality-distillation
공식 코드Modality Distillation with Multiple Stream Networks for Action Recognition
https://github.com/necolizer/facial-prior-based-fomm
공식 코드Facial Prior Based First Order Motion Model for Micro-expression Generation
https://github.com/nervjack2/propertyneurons
공식 코드https://github.com/newsdata/SoccerDB
공식 코드SoccerDB: A Large-Scale Database for Comprehensive Video Understanding
https://github.com/nifangbaage/explicit-visual-prompt
공식 코드Explicit Visual Prompting for Low-Level Structure Segmentations
https://github.com/nihaomiao/wacv23_tsnet
공식 코드Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.