HyperAI超神経

ホームニュース論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

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HyperAI超神経

Referring Video Object Segmentation On Mevis

評価指標

F

J

Ju0026F

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	F	J	Ju0026F	Paper Title	Repository
DsHmp + MTCM	51.1	44.1	47.6	Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation
HTR	45.5	39.9	42.7	Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
VRS-HQ (Chat-UniVi-13B)	53.7	48	50.9	The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
InternVideo2.5	-	-	32	InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
MPG-SAM 2	56.7	50.7	53.7	MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
ReferFormer	32.2	29.8	31.0	Language as Queries for Referring Video Object Segmentation
DsHmp	49.8	43	46.4	Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
SAMWISE	51.2	45.4	48.3	SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
LBDT	30.8	27.8	29.3	Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
VLT+TC	37.3	33.6	35.5	VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
LMPM	40.2	34.2	37.2	MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
MTTR	31.2	28.8	30.0	End-to-End Referring Video Object Segmentation with Multimodal Transformers
URVOS	29.9	25.7	27.8	URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark	-
ReferDINO (Swin-B)	53.9	44.7	49.3	ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations	-
FindTrack	50.7	45.6	48.2	Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation

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