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Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Self-supervised pretraining of vision transformers for animal behavioral analysis and neural encoding
Temporal Continual Learning with Prior Compensation for Human Motion Prediction
Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition
AMPLIFY: Actionless Motion Priors for Robot Learning from Videos
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs
DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models
PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates
Model Merging for Knowledge Editing
FocalAD: Local Motion Planning for End-to-End Autonomous Driving
Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints
Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
TrajFlow: Multi-modal Motion Prediction via Flow Matching
PropMEND: Hypernetworks for Knowledge Propagation in LLMs
SoK: Machine Unlearning for Large Language Models
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
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
Zero-Shot Temporal Interaction Localization for Egocentric Videos
HUMOF: Human Motion Forecasting in Interactive Social Scenes
Rodrigues Network for Learning Robot Actions
EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models
3D Skeleton-Based Action Recognition: A Review
A Review on Coarse to Fine-Grained Animal Action Recognition
On Fairness of Task Arithmetic: The Role of Task Vectors
LLM-powered Query Expansion for Enhancing Boundary Prediction in Language-driven Action Localization
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
Drop Dropout on Single-Epoch Language Model Pretraining
Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
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