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Temporal Action Localization

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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/ispc-lab/ACM-Net

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ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

https://github.com/iurada/talos-task-arithmetic

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Efficient Model Editing with Task-Localized Sparse Fine-tuning

https://github.com/j-h-hwang/temporal_shuffling

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Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks

https://github.com/jaakk0f/dstd-gcn

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Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction

https://github.com/jackyjsy/CVPR21Chal-SLR

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Skeleton Aware Multi-modal Sign Language Recognition

https://github.com/jackyjsy/sam-slr-v2

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Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

https://github.com/jalayrac/object-states-action

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Joint Discovery of Object States and Manipulation Actions

https://github.com/jarrentwu1031/sc4d

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SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer

https://github.com/jasonforjoy/model-editing-hurt

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Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

https://github.com/jasonwang959/stpmp

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Spatio-Temporal Branching for Motion Prediction using Motion Increments

https://github.com/jemoka/dropfree

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Drop Dropout on Single-Epoch Language Model Pretraining

https://github.com/jiaangl/elder

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ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA

https://github.com/jiakuan929/superficial-editing

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Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing

https://github.com/jianghoucheng/alphaedit

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AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

https://github.com/jianghoucheng/nse

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Neuron-Level Sequential Editing for Large Language Models

https://github.com/jianglongye/cgf

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Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations

https://github.com/jianzhou1212/interaction-safety-aware-motion-planning

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Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

https://github.com/jiashunwang/MRT

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Multi-Person 3D Motion Prediction with Multi-Range Transformers

https://github.com/jiayouqin/h-splitter

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Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation

https://github.com/jiayuzou2020/diffbev

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DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

https://github.com/jimmy-dq/dmt

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A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds

https://github.com/jingyaojade/SpSt-GCN

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Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution

https://github.com/jiyanggao/CTAP

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CTAP: Complementary Temporal Action Proposal Generation

https://github.com/jiyanggao/TURN-TAP

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TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

https://github.com/john-hewitt/model-editing-canonical-examples

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Model Editing with Canonical Examples

https://github.com/johnnychanv/JailbreakEdit

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Injecting Universal Jailbreak Backdoors into LLMs in Minutes

https://github.com/joker3993/rlhgnn

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RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes

https://github.com/jometeorie/multihopshortcuts

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Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models

https://github.com/jonghyeonk/kb-modulation

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Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

https://github.com/joslefaure/hit

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Holistic Interaction Transformer Network for Action Detection

https://github.com/jsun57/comusion

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CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion

https://github.com/junweiliang/multitrain

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Multi-dataset Training of Transformers for Robust Action Recognition

https://github.com/junwenchen/GAP_SRAM

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Group Activity Prediction with Sequential Relational Anticipation Model

https://github.com/jx-zhong-for-academic-purpose/kinet

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No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces

https://github.com/kaai520/PGFA

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Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment

https://github.com/kaanakan/slamp

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SLAMP: Stochastic Latent Appearance and Motion Prediction

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