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Action Localization

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하위 태스크: 4
평가표: 0
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/mks0601/IntegralAction_RELEASE

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IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos

https://github.com/ml-jku/clamp

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Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

https://github.com/ml-postech/skeleton-anonymization

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Anonymization for Skeleton Action Recognition

https://github.com/mmahdavian/stpotr

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STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead

https://github.com/mohsenzand/motionflow

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Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

https://github.com/moonlight52137/st-vgcn

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Improving Skeleton-based Action Recognition with Interactive Object Information

https://github.com/musicalOffering/ActionSwitch-release

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ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos

https://github.com/musicalOffering/sola

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Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks

https://github.com/mv-lab/youtube8m-19

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Multi-attention Networks for Temporal Localization of Video-level Labels

https://github.com/mxahan/nev-ncd

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NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery

https://github.com/nachiket92/PGP

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Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals

https://github.com/nail-hnu/esvo2

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ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras

https://github.com/naraysa/3c-net

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3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization

https://github.com/naraysa/D2-Net

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D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations

https://github.com/naraysa/gzsl-od

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Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

https://github.com/navalkishoremehta95/miam

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A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction

https://github.com/naver-ai/tc-clip

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Leveraging Temporal Contextualization for Video Action Recognition

https://github.com/nawidsayed/Cross-and-Learn

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Cross and Learn: Cross-Modal Self-Supervision

https://github.com/nazmul-karim170/FIP-Fisher-Backdoor-Removal

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Fisher Information guided Purification against Backdoor Attacks

https://github.com/nazmul-karim170/NFT-Augmented-Backdoor-Purification

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Augmented Neural Fine-Tuning for Efficient Backdoor Purification

https://github.com/nbahador/-fine_tuned_gpt2_model_on_epilepsy_related_pubmed_abstracts

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Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching

https://github.com/ncgarcia/DMCL

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DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition

https://github.com/ncgarcia/modality-distillation

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Modality Distillation with Multiple Stream Networks for Action Recognition

https://github.com/necolizer/facial-prior-based-fomm

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Facial Prior Based First Order Motion Model for Micro-expression Generation

https://github.com/nervjack2/propertyneurons

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Property Neurons in Self-Supervised Speech Transformers

https://github.com/newsdata/SoccerDB

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SoccerDB: A Large-Scale Database for Comprehensive Video Understanding

https://github.com/nifangbaage/explicit-visual-prompt

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Explicit Visual Prompting for Low-Level Structure Segmentations

https://github.com/nihaomiao/wacv23_tsnet

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Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis

https://github.com/ninatu/everything_at_once

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Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval

https://github.com/ningwang2049/laiar

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Language Model Guided Interpretable Video Action Reasoning

https://github.com/nlpkeg/D4S

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Reasons and Solutions for the Decline in Model Performance after Editing

https://github.com/nntanaka/Fourier-Analysis-for-Skeleton-based-Action-Recognition

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Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition

https://github.com/noboevbo/ehpi_action_recognition

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Simple yet efficient real-time pose-based action recognition

https://github.com/nus-cvml/awesome-temporal-action-segmentation

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Temporal Action Segmentation: An Analysis of Modern Techniques

https://github.com/oliverhxh/skeletongcl

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Graph Contrastive Learning for Skeleton-based Action Recognition

https://github.com/olivesgatech/gradtrust

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Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

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