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Activity Recognition

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하위 태스크: 11
평가표: 4
보존된 평가 기록: 10

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

코드

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

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

공식 코드

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

https://github.com/noboevbo/ehpi_action_recognition

공식 코드

Simple yet efficient real-time pose-based action recognition

https://github.com/noureldien/timeception

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Timeception for Complex Action Recognition

https://github.com/nudt-bi-marl/pmat

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PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning

https://github.com/okankop/Efficient-3DCNNs

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Resource Efficient 3D Convolutional Neural Networks

https://github.com/olga-zats/goal_consistency

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Action Anticipation with Goal Consistency

https://github.com/olga-zats/gtda

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Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation

https://github.com/oliverhxh/skeletongcl

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Graph Contrastive Learning for Skeleton-based Action Recognition

https://github.com/olivesgatech/DARai

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Hierarchical and Multimodal Data for Daily Activity Understanding

https://github.com/olivesgatech/gradtrust

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Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

https://github.com/oliviazwy/dcgcn

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Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction

https://github.com/ombretta/longterm_datasets

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Are current long-term video understanding datasets long-term?

https://github.com/ombretta/videobagnet

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Video BagNet: short temporal receptive fields increase robustness in long-term action recognition

https://github.com/opanhw/FiNE

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Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs

https://github.com/opanhw/MM_Neurons

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Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers

https://github.com/open-mmlab/mmaction

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Temporal Action Detection with Structured Segment Networks

https://github.com/openai/CLIP

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Learning Transferable Visual Models From Natural Language Supervision

https://github.com/opengvlab/egoexolearn

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EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World

https://github.com/opengvlab/egovideo

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EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation

https://github.com/opengvlab/hulk

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Hulk: A Universal Knowledge Translator for Human-Centric Tasks

https://github.com/opengvlab/humanbench

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Hulk: A Universal Knowledge Translator for Human-Centric Tasks

https://github.com/opengvlab/internvideo

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InternVideo: General Video Foundation Models via Generative and Discriminative Learning

https://github.com/opengvlab/internvideo2

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InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

https://github.com/opengvlab/unmasked_teacher

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Unmasked Teacher: Towards Training-Efficient Video Foundation Models

https://github.com/openvinotoolkit/training_extensions

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ASL Recognition with Metric-Learning based Lightweight Network

https://github.com/optas/artemis

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ArtEmis: Affective Language for Visual Art

https://github.com/ostadabbas/nns-detection-and-segmentation

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A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

https://github.com/ostadabbas/video-based-infant-action-recognition

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Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art

https://github.com/osvai/ske2grid

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Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition

https://github.com/outsiders17711/e2eet-skeleton-based-hgr-using-data-level-fusion

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Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN

https://github.com/ouxiang-li/speed

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SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models

https://github.com/owenzlz/egohos

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Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications

https://github.com/paddlepaddle/paddlevideo

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A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

https://github.com/paolomandica/hysp

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HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations

https://github.com/papermsucode/mutual-modality-learning

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Mutual Modality Learning for Video Action Classification

https://github.com/parhamhadikhani/human-activity-discovery-hpgmk

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A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian Mutation

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