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Activity Recognition
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition
LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models
Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches
H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise
A Short Overview of Multi-Modal Wi-Fi Sensing
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
STORY2GAME: Generating (Almost) Everything in an Interactive Fiction Game
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition
Vision and Intention Boost Large Language Model in Long-Term Action Anticipation
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
Direct Motion Models for Assessing Generated Videos
A Survey on GUI Agents with Foundation Models Enhanced by Reinforcement Learning
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
SetKE: Knowledge Editing for Knowledge Elements Overlap
Hierarchical and Multimodal Data for Daily Activity Understanding
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
SignX: The Foundation Model for Sign Recognition
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
Functional Abstraction of Knowledge Recall in Large Language Models
REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models
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