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Action Localization

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보존된 평가 기록: 0

Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.

코드

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

https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/en/model_zoo/multimodal/actbert.md

공식 코드

ActBERT: Learning Global-Local Video-Text Representations

https://github.com/PaddlePaddle/models

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Deep Concept-wise Temporal Convolutional Networks for Action Localization

https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/video/models/bmn

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BMN: Boundary-Matching Network for Temporal Action Proposal Generation

https://github.com/ParitoshParmar/Fitness-AQA

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Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment

https://github.com/ParitoshParmar/HalluciNet

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HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN

https://github.com/ParitoshParmar/MTL-AQA

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What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

https://github.com/PeisenZhao/Bottom-Up-TAL-with-MR

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Bottom-Up Temporal Action Localization with Mutual Regularization

https://github.com/PeizhuoLi/neural-blend-shapes

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Learning Skeletal Articulations with Neural Blend Shapes

https://github.com/PengWan-Yang/commonLocalization

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Localizing the Common Action Among a Few Videos

https://github.com/PetarV-/GAT

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Graph Attention Networks

https://github.com/PhyllisH/NMMP

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Collaborative Motion Prediction via Neural Motion Message Passing

https://github.com/Pilhyeon/BaSNet-pytorch

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Background Suppression Network for Weakly-supervised Temporal Action Localization

https://github.com/Pilhyeon/Learning-Action-Completeness-from-Points

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Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization

https://github.com/Pilhyeon/WTAL-Uncertainty-Modeling

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Weakly-supervised Temporal Action Localization by Uncertainty Modeling

https://github.com/PinzhengWang322/Reveal_Attention_Drift

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Revealing and Mitigating Over-Attention in Knowledge Editing

https://github.com/QingZhong1996/OnlineTAS

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OnlineTAS: An Online Baseline for Temporal Action Segmentation

https://github.com/RenHuan1999/CVPR2023_P-MIL

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Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization

https://github.com/Richard-61/FineAction

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FineAction: A Fine-Grained Video Dataset for Temporal Action Localization

https://github.com/RomeroBarata/hierarchical_action_prediction

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Learning to Abstract and Predict Human Actions

https://github.com/SS47816/AGI-Elo

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AGI-Elo: How Far Are We From Mastering A Task?

https://github.com/Sha-Lab/CMHSE

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Cross-Modal and Hierarchical Modeling of Video and Text

https://github.com/ShangHua-Gao/G2L-search

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Global2Local: Efficient Structure Search for Video Action Segmentation

https://github.com/ShangHua-Gao/RFNext

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RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks

https://github.com/SichengMo/Ego4D_NLQ_Actionformer

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A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge

https://github.com/Singularity42/cap2vid

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Attentive Semantic Video Generation using Captions

https://github.com/Siyu-C/ACAR-Net

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Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

https://github.com/Soumyabrata2003/ViLP

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ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition

https://github.com/Sunnydreamrain/IndRNN_Theano_Lasagne

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Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

https://github.com/Sunnydreamrain/IndRNN_pytorch

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Deep Independently Recurrent Neural Network (IndRNN)

https://github.com/TaeSoo-Kim/TCNActionRecognition

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Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

https://github.com/TencentYoutuResearch/ActionDetection-AFSD

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Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

https://github.com/TengdaHan/DPC

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Video Representation Learning by Dense Predictive Coding

https://github.com/The-Martyr/OccludeNet-Dataset

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OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions

https://github.com/Thinksky5124/SVTAS

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Streaming Video Temporal Action Segmentation In Real Time

https://github.com/Tiiiger/SGC

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Simplifying Graph Convolutional Networks

https://github.com/TrustedLLM/UnKE

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Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models

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