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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.
VITA: Vision-to-Action Flow Matching Policy
A Real-Time System for Egocentric Hand-Object Interaction Detection in Industrial Domains
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
WorldVLA: Towards Autoregressive Action World Model
Feature Hallucination for Self-supervised Action Recognition
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition
Adapting Vision-Language Models for Evaluating World Models
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
On Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design
CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs
Active Multimodal Distillation for Few-shot Action Recognition
Block-wise Adaptive Caching for Accelerating Diffusion Policy
DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition
Model Merging for Knowledge Editing
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments
Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints
An Effective End-to-End Solution for Multimodal Action Recognition
Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
PropMEND: Hypernetworks for Knowledge Propagation in LLMs
An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models
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