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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/Sense-X/X-Temporal

공식 코드

Top-1 Solution of Multi-Moments in Time Challenge 2019

https://github.com/Seth-Park/MultimodalExplanations

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Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

https://github.com/Sha-Lab/CMHSE

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Cross-Modal and Hierarchical Modeling of Video and Text

https://github.com/ShoufaChen/AdaptFormer

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AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

https://github.com/ShuhongChen/bizarre-pose-estimator

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Transfer Learning for Pose Estimation of Illustrated Characters

https://github.com/Shunli-Wang/TSA-Net

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TSA-Net: Tube Self-Attention Network for Action Quality Assessment

https://github.com/SimilarityGuidedSampling/Similarity-Guided-Sampling

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3D CNNs with Adaptive Temporal Feature Resolutions

https://github.com/Singularity42/cap2vid

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Attentive Semantic Video Generation using Captions

https://github.com/Siyu-C/ACAR-Net

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Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

https://github.com/Soumyabrata2003/Simba

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Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos

https://github.com/Soumyabrata2003/ViLP

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ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition

https://github.com/StrohmayerJ/wallhack1.8k

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Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition

https://github.com/SunDoge/L-GCN

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Location-aware Graph Convolutional Networks for Video Question Answering

https://github.com/Sunnydreamrain/IndRNN_Theano_Lasagne

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Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

https://github.com/Sunnydreamrain/IndRNN_pytorch

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Deep Independently Recurrent Neural Network (IndRNN)

https://github.com/SwinTransformer/Video-Swin-Transformer

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Video Swin Transformer

https://github.com/TJU-YDragonW/TAMT

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TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition

https://github.com/TaeSoo-Kim/TCNActionRecognition

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Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

https://github.com/Tahiya31/cadence

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Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams

https://github.com/TaikiMiyagawa/MSPRT-TANDEM

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The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization

https://github.com/TencentYoutuResearch/SelfSupervisedLearning-DSM

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Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion

https://github.com/TengdaHan/CoCLR

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Self-supervised Co-training for Video Representation Learning

https://github.com/TengdaHan/DPC

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Video Representation Learning by Dense Predictive Coding

https://github.com/TengdaHan/MemDPC

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Memory-augmented Dense Predictive Coding for Video Representation Learning

https://github.com/The-Martyr/OccludeNet-Dataset

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OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions

https://github.com/Thinksky5124/SVTAS

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End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning

https://github.com/Tiiiger/SGC

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Simplifying Graph Convolutional Networks

https://github.com/TrustedLLM/UnKE

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Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models

https://github.com/Uason-Chen/CTR-GCN

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Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

https://github.com/UgurDemir/Tiny-VIRAT

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TinyVIRAT: Low-resolution Video Action Recognition

https://github.com/V-Sense/ACTION-Net

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ACTION-Net: Multipath Excitation for Action Recognition

https://github.com/VIPriors/vipriors-challenges-toolkit

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VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges

https://github.com/VITA-Group/PA-HMDB51

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Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset

https://github.com/VITA-Group/Privacy-AdversarialLearning

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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

https://github.com/Va6lue/BST-Badminton-Stroke-type-Transformer

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BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports

https://github.com/VisionLearningGroup/R-C3D

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R-C3D: Region Convolutional 3D Network for Temporal Activity Detection

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