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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ai-forever/sg-detr
공식 코드Saliency-Guided DETR for Moment Retrieval and Highlight Detection
https://github.com/andy-cheng/tempura
공식 코드TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
https://github.com/chrisallenming/cross_category_video_highlight
공식 코드Cross-category Video Highlight Detection via Set-based Learning
https://github.com/dpaul06/VideoLights
공식 코드https://github.com/easonxiao-888/uvcom
공식 코드https://github.com/edengabriel/taskweave
공식 코드https://github.com/fletcherjiang/llmepet
공식 코드Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval
https://github.com/gyglim/personalized-highlights-dataset
공식 코드PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation
https://github.com/gyxxyg/vtg-llm
공식 코드VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
https://github.com/jayleicn/moment_detr
공식 코드QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
https://github.com/kjzju/specular-removal
공식 코드M2-Net: Multi-stages Specular Highlight Detection and Removal in Multi-scenes
https://github.com/line/lighthouse
공식 코드Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection
https://github.com/mingyao1120/tr-detr
공식 코드TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection
https://github.com/mrochan/adaptive-highlight
공식 코드Adaptive Video Highlight Detection by Learning from User History
https://github.com/newsdata/SoccerDB
공식 코드SoccerDB: A Large-Scale Database for Comprehensive Video Understanding
https://github.com/qingchen239/ld-detr
공식 코드LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight Detection
https://github.com/renshuhuai-andy/timechat
공식 코드TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
https://github.com/showlab/univtg
공식 코드https://github.com/skyline-9/visionary-vids
공식 코드Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
https://github.com/tencentarc/umt
공식 코드UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
https://github.com/tencentyouturesearch/highlightdetection-clc
공식 코드https://github.com/visualaikhu/keyword-detr
공식 코드https://github.com/weizequan/tashr
공식 코드https://github.com/wjun0830/cgdetr
공식 코드Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding
https://github.com/wjun0830/qd-detr
공식 코드Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
https://github.com/yeliudev/R2-Tuning
공식 코드R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
https://github.com/yellow-binary-tree/mmduet
공식 코드https://github.com/yongliang-wu/numpro
공식 코드https://github.com/yongliang-wu/repurpose
공식 코드Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
https://github.com/youcanbaby/mh-detr
공식 코드MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
https://github.com/younghanstark/rhapsody
공식 코드https://github.com/zhuo-cao/flashvtg
공식 코드FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding
https://github.com/znaoya/aenet
공식 코드https://github.com/MS-P3/code7/tree/main/umt5
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
https://github.com/MindCode-4/code-5/tree/main/umt5
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.