Papers with Code 아카이브
Action Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 1
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
The Role of Video Generation in Enhancing Data-Limited Action Understanding
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
F$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
RoboAct-CLIP: Video-Driven Pre-training of Atomic Action Understanding for Robotics
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery
ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction
LLaVAction: evaluating and training multi-modal large language models for action recognition
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
About Time: Advances, Challenges, and Outlooks of Action Understanding
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
CathAction: A Benchmark for Endovascular Intervention Understanding
Probing Fine-Grained Action Understanding and Cross-View Generalization of Foundation Models
Region-aware Image-based Human Action Retrieval with Transformers
VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment
EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and Beyond
The SkatingVerse Workshop & Challenge: Methods and Results
FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning
Enhancing Video Transformers for Action Understanding with VLM-aided Training
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study
Multitask Learning in Minimally Invasive Surgical Vision: A Review
Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
Open-Vocabulary Video Relation Extraction
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding
Memory-and-Anticipation Transformer for Online Action Understanding
Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning
Paxion: Patching Action Knowledge in Video-Language Foundation Models
Comparing Machines and Children: Using Developmental Psychology Experiments to Assess the Strengths and Weaknesses of LaMDA Responses
ATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.