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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.
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing
Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
3D Skeleton-Based Action Recognition: A Review
A Review on Coarse to Fine-Grained Animal Action Recognition
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction
On Fairness of Task Arithmetic: The Role of Task Vectors
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
Drop Dropout on Single-Epoch Language Model Pretraining
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition
Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
Context Robust Knowledge Editing for Language Models
ScEdit: Script-based Assessment of Knowledge Editing
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features
Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing
MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking
Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds
A Probabilistic Jump-Diffusion Framework for Open-World Egocentric Activity Recognition
Hierarchical Instruction-aware Embodied Visual Tracking
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
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