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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/machelreid/editpro

공식 코드

Learning to Model Editing Processes

https://github.com/maclong01/STEP-CATFormer

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STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition

https://github.com/madrylab/modelcomponents

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Decomposing and Editing Predictions by Modeling Model Computation

https://github.com/magecliff96/atars

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ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset

https://github.com/mail-research/cad-attribution4diffusion

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Unveiling Concept Attribution in Diffusion Models

https://github.com/malswadi/skeleton-ucf-hmdb

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Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion

https://github.com/malswadi/skeleton_ucf_hmdb

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Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion

https://github.com/maoyunyao/cmd

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CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation

https://github.com/maoyunyao/mamp

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Masked Motion Predictors are Strong 3D Action Representation Learners

https://github.com/marcocominelli/csi-vae

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Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data

https://github.com/mariusbock/context_har

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DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition

https://github.com/mariusbock/dl-for-har

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Improving Deep Learning for HAR with shallow LSTMs

https://github.com/mariusbock/dl-for-har/tree/main/tutorial_notebooks

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Tutorial on Deep Learning for Human Activity Recognition

https://github.com/mariusbock/leakage_har

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Label Leakage in Federated Inertial-based Human Activity Recognition

https://github.com/mariusbock/tal_for_har

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Temporal Action Localization for Inertial-based Human Activity Recognition

https://github.com/mariusbock/weak_har

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Weak-Annotation of HAR Datasets using Vision Foundation Models

https://github.com/mariusbock/wear

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WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition

https://github.com/marjan-nourollahi/PALS

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Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition

https://github.com/mark12ding/fame

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Motion-aware Contrastive Video Representation Learning via Foreground-background Merging

https://github.com/martinetoering/ViCC

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Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting

https://github.com/martinxm/gap

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Generative Action Description Prompts for Skeleton-based Action Recognition

https://github.com/martinxm/lst

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Generative Action Description Prompts for Skeleton-based Action Recognition

https://github.com/martinxm/tps

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Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

https://github.com/mauriciolp/inter-rel-net

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Interaction Relational Network for Mutual Action Recognition

https://github.com/maxxu05/relcon

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RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

https://github.com/mcg-nju/mgsampler

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MGSampler: An Explainable Sampling Strategy for Video Action Recognition

https://github.com/mcg-nju/video-dc

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A Large-Scale Study on Video Action Dataset Condensation

https://github.com/mcg-nju/zeroi2v

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ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video

https://github.com/mcgill-nlp/logicalknowedit

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Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness

https://github.com/mcgridles/LENS

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Low-light Environment Neural Surveillance

https://github.com/mchengny/RWF2000-Video-Database-for-Violence-Detection

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RWF-2000: An Open Large Scale Video Database for Violence Detection

https://github.com/mdeff/cnn_graph

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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

https://github.com/mduhme/fusion-gcn

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Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks

https://github.com/mehrdadfazli/HHAR-Net

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HHAR-net: Hierarchical Human Activity Recognition using Neural Networks

https://github.com/metrics-lab/st-fmri

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Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity

https://github.com/mf-zhang/ego-inertial-localization

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Egocentric Action-aware Inertial Localization in Point Clouds

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