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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/BUPTSJZhang/SiT-MLP

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SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition

https://github.com/BUserName/PGL

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Source-Free Progressive Graph Learning for Open-Set Domain Adaptation

https://github.com/BestJuly/Inter-intra-video-contrastive-learning

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Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

https://github.com/BestJuly/Pretext-Contrastive-Learning

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Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning

https://github.com/Betswish/Cross-Lingual-Consistency

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Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models

https://github.com/BoPang1996/Semi-Coupled-Structure-for-visual-sequental-tasks

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Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts

https://github.com/BobXWu/AKEW

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AKEW: Assessing Knowledge Editing in the Wild

https://github.com/Breakend/MotionDetection

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An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian Models

https://github.com/Breezelled/COMODO

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COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition

https://github.com/Buzz-Beater/LEMMA

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LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities

https://github.com/CAMMA-public/cholect45

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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

https://github.com/CAMMA-public/cholect50

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CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection

https://github.com/CAMMA-public/cholectriplet2021

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CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

https://github.com/CDAC-lab/ETFA-Workshop/blob/main/CNN%20and%20LSTM%20for%20Human%20Activity%20Recognition.ipynb

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Human Activity Recognition using Multi-Head CNN followed by LSTM

https://github.com/CMU-CREATE-Lab/deep-smoke-machine

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Project RISE: Recognizing Industrial Smoke Emissions

https://github.com/CMU-CREATE-Lab/video-labeling-tool

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Project RISE: Recognizing Industrial Smoke Emissions

https://github.com/CV-Lehigh/Bias_IMD

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Exploring Saliency Bias in Manipulation Detection

https://github.com/CVIR/TCL

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Semi-Supervised Action Recognition with Temporal Contrastive Learning

https://github.com/CVPRUSFTampa/EventSegmentation

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A Perceptual Prediction Framework for Self Supervised Event Segmentation

https://github.com/Chain123/Meta-HAR

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Meta-HAR: Federated Representation Learning for Human Activity Recognition

https://github.com/Charrrrrlie/SGA-INTERACT

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SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic

https://github.com/Chiaraplizz/ST-TR

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Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks

https://github.com/Claydon-Wang/OFTTA

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Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition

https://github.com/Cogito2012/DEAR

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Evidential Deep Learning for Open Set Action Recognition

https://github.com/Computational-Imaging-Lab-IITM/HAR-DVS

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Dynamic Vision Sensors for Human Activity Recognition

https://github.com/CorcovadoMing/HORST

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Higher Order Recurrent Space-Time Transformer for Video Action Prediction

https://github.com/DAVEISHAN/TCLR

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TCLR: Temporal Contrastive Learning for Video Representation

https://github.com/DaphneAntotsiou/task-oriented-hand-retargeting

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Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation

https://github.com/Darcyddx/Video-LLM

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Do Language Models Understand Time?

https://github.com/DavideBuffelli/TrASenD

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Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation

https://github.com/DeLightCMU/ElaborativeRehearsal

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Elaborative Rehearsal for Zero-shot Action Recognition

https://github.com/DirtyHarryLYL/DJ-RN

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Detailed 2D-3D Joint Representation for Human-Object Interaction

https://github.com/DirtyHarryLYL/HAKE-Action-Torch

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HAKE: A Knowledge Engine Foundation for Human Activity Understanding

https://github.com/DrMahdiRezaei/DeepSOCIAL

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DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic

https://github.com/DynamicSanitizer/DySan

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DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

https://github.com/EHZ9NIWI7/MSF-GZSSAR

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Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition

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