Referring Expression Segmentation On Refer 1

Metrics

Ju0026F

Results

Performance results of various models on this benchmark

				Paper Title	Repository
MPG-SAM 2	76.1	71.7	73.9	MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
VRS-HQ (Chat-UniVi-13B)	73.1	69	71	The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
GLEE-Pro	72.9	68.2	70.6	General Object Foundation Model for Images and Videos at Scale
UNINEXT-H	72.7	67.6	70.1	Universal Instance Perception as Object Discovery and Retrieval
ReferDINO (Swin-B)	71.5	67.0	69.3	ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations	-
MUTR	70.4	66.4	68.4	Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
VLP (VLMo-L)	69.8	65.3	67.6	Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation	-
UniRef-L (Swin-L)	69.2	65.5	67.4	Segment Every Reference Object in Spatial and Temporal Spaces	-
SOC (Joint training, Video-Swin-B)	69.3	65.3	67.3±0.5	SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
HTR (Pre-training)	68.9	65.3	67.1	Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
DsHmp (Video-Swin-Base)	69.1	65	67.1	Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
UniRef++-L	69.0	64.8	66.9	UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
ViLLa	68.6	64.6	66.5	ViLLa: Video Reasoning Segmentation with Large Language Model
DEVA (ReferFormer)	-	-	66.0	Tracking Anything with Decoupled Video Segmentation
SgMg (Pre-training)	67.4	63.9	65.7	Spectrum-guided Multi-granularity Referring Video Object Segmentation
GroPrompt	66.9	64.1	65.5	GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation	-
EPCFormer (ViT-H)	67.2	62.9	65	Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation	-
UniLSeg-100	67.0	62.8	64.9	Universal Segmentation at Arbitrary Granularity with Language Instruction
LoSh-R	66.0	62.5	64.2	LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
VLT	65.6	61.9	63.8	VLT: Vision-Language Transformer and Query Generation for Referring Segmentation

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Referring Expression Segmentation On Refer 1

Metrics

Results