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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/fmthoker/skeleton-contrast

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Skeleton-Contrastive 3D Action Representation Learning

https://github.com/fpetitjean/DBA

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Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones

https://github.com/fpv-iplab/MECCANO

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The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain

https://github.com/fpv-iplab/easg

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Action Scene Graphs for Long-Form Understanding of Egocentric Videos

https://github.com/fpv-iplab/rulstm

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What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention

https://github.com/francescodaghero/ultracompactbnn

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Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors

https://github.com/francescosemeraro/multi_user_through_single_user

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Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications

https://github.com/francis-rings/ila

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Implicit Temporal Modeling with Learnable Alignment for Video Recognition

https://github.com/franklear/lime

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Language Anisotropic Cross-Lingual Model Editing

https://github.com/frankniujc/kn_thesis

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What does the Knowledge Neuron Thesis Have to do with Knowledge?

https://github.com/frederico-klein/cad-gas

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Human activity recognition from skeleton poses

https://github.com/fubel/stmodeling

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Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos

https://github.com/fuchenustc/sifa

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Stand-Alone Inter-Frame Attention in Video Models

https://github.com/fujiry0/egosurgery

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EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

https://github.com/furkanmumcu/vlad

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Multimodal Attack Detection for Action Recognition Models

https://github.com/fylwen/htt

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Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos

https://github.com/gamzeakyol/gnet

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A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction

https://github.com/gbouritsas/cvpr18_multimodal_weakly_supervised_learning

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Multimodal Visual Concept Learning with Weakly Supervised Techniques

https://github.com/gd-goblin/NTU_DB_Data_Loader

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C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning

https://github.com/gebob19/m2a

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M2A: Motion Aware Attention for Accurate Video Action Recognition

https://github.com/geekfeiw/WiSLAR

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Temporal Unet: Sample Level Human Action Recognition using WiFi

https://github.com/geekfeiw/apl

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Joint Activity Recognition and Indoor Localization With WiFi Fingerprints

https://github.com/getalp/FedAli

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FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport

https://github.com/getalp/PerCom2021-FL

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A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison

https://github.com/getalp/lightweight-transformer-models-for-har-on-mobile-devices

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Lightweight Transformers for Human Activity Recognition on Mobile Devices

https://github.com/getalp/self-supervised-learning-har

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Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition

https://github.com/getalp/smartcomp2023-har-supervised-pretraining

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Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity

https://github.com/gewu-lab/cross-modal-distillation

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Robust Cross-Modal Knowledge Distillation for Unconstrained Videos

https://github.com/giaczara/dallv

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The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation

https://github.com/git-disl/pokellmon

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PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

https://github.com/githubofhyl97/skeattnclr

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Part Aware Contrastive Learning for Self-Supervised Action Recognition

https://github.com/gitzh-chen/liebn

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A Lie Group Approach to Riemannian Batch Normalization

https://github.com/gitzh-chen/spdmlr

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Riemannian Multinomial Logistics Regression for SPD Neural Networks

https://github.com/gkioxari/RstarCNN

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Contextual Action Recognition with R*CNN

https://github.com/gmouyes/seal

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Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition

https://github.com/google-research/google-research

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Unsupervised Learning of Object Structure and Dynamics from Videos

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