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HyperAI超神経

Natural Language Moment Retrieval On Tacos

評価指標

R@1,IoU=0.3

R@1,IoU=0.5

R@1,IoU=0.7

mIoU

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	R@1,IoU=0.3	R@1,IoU=0.5	R@1,IoU=0.7	mIoU	Paper Title	Repository
BAM-DETR	56.69	41.54	26.77	39.31	BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
GVL (paragraph-level)	48.29	36.07	-	-	Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
GVL	45.92	34.57	-	-	Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
SG-DETR	56.71	44.70	29.90	40.90	Saliency-Guided DETR for Moment Retrieval and Highlight Detection
LD-DETR	57.61	44.31	26.24	40.30	LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight Detection
UVCOM	-	36.39	23.32	-	Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
FlashVTG	53.71	41.76	24.74	37.61	FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding
UniVTG	51.44	34.97	21.07	35.76	UniVTG: Towards Unified Video-Language Temporal Grounding
SG-DETR (w/ PT)	58.10	46.40	33.90	42.40	Saliency-Guided DETR for Moment Retrieval and Highlight Detection
VLG-Net	45.46	34.19	-	-	VLG-Net: Video-Language Graph Matching Network for Video Grounding
LLMEPET	52.73	40.12	22.78	36.55	Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval
CG-DETR	52.23	39.61	22.23	36.48	Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding

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Natural Language Moment Retrieval On Tacos | SOTA | HyperAI超神経