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Video Understanding
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A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Generative Frame Sampler for Long Video Understanding
Memory-enhanced Retrieval Augmentation for Long Video Understanding
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers
VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
On the Limitations of Vision-Language Models in Understanding Image Transforms
Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension
VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
Towards Fine-Grained Video Question Answering
ALLVB: All-in-One Long Video Understanding Benchmark
BEARCUBS: A benchmark for computer-using web agents
TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model
Unified Reward Model for Multimodal Understanding and Generation
Deep Understanding of Sign Language for Sign to Subtitle Alignment
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection
EgoLife: Towards Egocentric Life Assistant
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos
Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual Reality
M-LLM Based Video Frame Selection for Efficient Video Understanding
OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model
Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
An Analysis of Data Transformation Effects on Segment Anything 2
Fine-Grained Video Captioning through Scene Graph Consolidation
LongCaptioning: Unlocking the Power of Long Caption Generation in Large Multimodal Models
AVD2: Accident Video Diffusion for Accident Video Description
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval
Contrast-Unity for Partially-Supervised Temporal Sentence Grounding
iMOVE: Instance-Motion-Aware Video Understanding
VRoPE: Rotary Position Embedding for Video Large Language Models
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