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Group Activity Recognition
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Group Activity Recognition is a subset of human activity recognition problem which focuses on the collective behavior of a group of people, resulted from the individual actions of the persons and their interactions. Collective activity recognition is a basic task for automatic human behavior analysis in many areas like surveillance or sports videos.
Source: A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition
LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
Unified Framework with Consistency across Modalities for Human Activity Recognition
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition
Group Activity Recognition using Unreliable Tracked Pose
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space
REACT: Recognize Every Action Everywhere All At Once
Group Activity Recognition in Computer Vision: A Comprehensive Review, Challenges, and Future Perspectives
M3Act: Learning from Synthetic Human Group Activities
Group Activity Recognition via Dynamic Composition and Interaction
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition
DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
Knowledge Augmented Relation Inference for Group Activity Recognition
Attentive pooling for Group Activity Recognition
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)
Hunting Group Clues with Transformers for Social Group Activity Recognition
Detector-Free Weakly Supervised Group Activity Recognition
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
Pose is all you need: The pose only group activity recognition system (POGARS)
Learning Group Activities from Skeletons without Individual Action Labels
Revisiting Skeleton-based Action Recognition
Indoor Group Activity Recognition using Multi-Layered HMMs
Skeleton-based Relational Reasoning for Group Activity Analysis
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