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Highlight Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Rhapsody: A Dataset for Highlight Detection in Podcasts
Gameplay Highlights Generation
TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention
Multi-modal Fusion and Query Refinement Network for Video Moment Retrieval and Highlight Detection
LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight Detection
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection
FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding
Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
Agent-based Video Trimming
Video LLMs for Temporal Reasoning in Long Videos
VideoLights: Feature Refinement and Cross-Task Alignment Transformer for Joint Video Highlight Detection and Moment Retrieval
VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
Number it: Temporal Grounding Videos like Flipping Manga
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
Saliency-Guided DETR for Moment Retrieval and Highlight Detection
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval
Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence
A Multimodal Transformer for Live Streaming Highlight Prediction
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
Unleash the Potential of CLIP for Video Highlight Detection
Unsupervised Modality-Transferable Video Highlight Detection with Representation Activation Sequence Learning
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection
UniVTG: Towards Unified Video-Language Temporal Grounding
Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
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