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Referring Video Object Segmentation on MeViS (val)

0.635J&F ScoreMolmoPoint-8B
0.361480.432490.50350.57451Mar 28, 2024Aug 4, 2024Dec 11, 2024Apr 20, 2025Aug 27, 2025Jan 3, 2026May 13, 2026

Evaluation results

MethodLinks
MolmoPoint-8BCategory=MolmoPoint2026.030.635———
Molmo2-4BAccess=Open weights, Open data (no distillation), Open code2026.010.633———
Molmo2-4BCategory=Fully open2026.030.633———
VIRSTCategory=MLLM-based Segmentation Method, Venue=-2026.030.6290.6040.654—
Molmo2-8BAccess=Open weights, Open data (no distillation), Open code2026.010.623———
Molmo2-8BCategory=Fully open2026.030.623———
Molmo2-O-7BAccess=Open weights, Open data (no distillation), Open code2026.010.584———
Molmo2-O-7BCategory=Fully open2026.030.584———
VideoMolmo-7BAccess=Specialized open models2026.010.539———
VideoMolmo-7BCategory=Fully open2026.030.539———
MPG-SAM2Category=Segmentation Expert, Venue=ICCV’252026.030.5370.5070.567—
FindTrack++N=10, fine-tuning=true2025.030.5320.5050.559—
SAMWISECategory=Segmentation Expert, Venue=CVPR’252026.030.5240.4950.466—
FindTrack++N=5, fine-tuning=true2025.030.5210.4940.549—
VideoLoomParameters=8B2026.010.517———
GLUSLLM usage=yes, SFT strategy=additional-SFT2025.040.5130.4850.542—
GLUSParameters=7B2026.010.513———
VRS-HQBackbone=Chat-UniVi-13B2025.010.5090.480.537—
VRS-HQParameters=13B2026.010.509———
VRS-HQ-13BCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.030.5090.480.537—
VRS-HQBackbone=Chat-UniVi-7B2025.010.5060.4760.537—
VRS-HQParameters=7B2026.010.506———
VRS-HQ-7BCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.030.5060.4760.537—
GLUSLLM usage=yes, SFT strategy=standard-SFT2025.040.5030.4750.532—
SAMWISEPublication=CVPR'252025.030.4950.4660.524—
ViLLaParameters=6B2026.010.494———
ViLLa-6BCategory=MLLM-based Segmentation Method, Venue=ICCV’252026.030.4940.4650.523—
ReferDINOCategory=Segmentation Expert, Venue=ICCV’252026.030.4930.4470.539—
DMVSPublication=CVPR'252025.030.4860.4420.529—
SSAPublication=CVPR'252025.030.4860.440.532—
DMVSPublication=CVPR 20252026.030.4860.4420.529—
SSAPublication=CVPR 20252026.030.4860.440.532—
SDAMPublication=Ours2026.030.4860.4550.517—
FindTrackN=102025.030.4820.4560.507—
DsHmp + MTCMmodule=Multi-Context Enhancer (MTCM)2025.010.4760.4410.511—
VideoChat-TPOFine-tuning=true2025.010.47———
FindTrackN=52025.030.470.4430.497—
Sa2VA-8BAccess=Specialized open models2026.010.469———
Molmo + SAM 2Access=Specialized open models2026.010.469———
Sa2VAParameters=8B2026.010.469———
Sa2VA-8BCategory=Specialized open models2026.030.469———
Molmo + SAM 2Category=Fully open2026.030.469———
DsHmpPublication=CVPR'242025.030.4640.430.498—
DsHmpBackbone=Swin-Tiny2024.040.4640.430.498—
DsHmp2024.050.4640.430.498—
DsHmp2024.050.4640.430.498—
DsHmp2025.010.4640.430.498—
DsHmpLLM usage=no2025.040.4640.430.498—
VLP-RVOSVisual Backbone=VLMo-B2024.050.4540.420.488—
VideoGLaMMLLM usage=yes2025.040.4520.4210.482—
VideoGLaMMAccess=Specialized open models2026.010.452———
VideoGLaMMCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.030.4520.4210.482—
VideoGLaMMCategory=Specialized open models2026.030.452———
VideoGLaMMRetained Tokens=576, Pruning Ratio=0%2026.050.45150.42070.4823100
LiteLVLMRetained Tokens=196, Pruning Ratio=65.9%2026.050.45080.42060.48199.8
VisPrunerRetained Tokens=196, Pruning Ratio=65.9%2026.050.44940.41930.479699.5
LiteLVLMRetained Tokens=81, Pruning Ratio=85.9%2026.050.44730.41640.478299
VLP-RVOSVisual Backbone=ViT-B/16 CLIP2024.050.4460.4130.48—
ReLABackbone=Video-Swin-B2026.010.4460.4170.475—
VisPrunerRetained Tokens=81, Pruning Ratio=85.9%2026.050.44590.41350.478398.7
VISABackbone=Chat-UniVi-13B2025.010.4450.4180.471—
VISALLM usage=yes, Model Size=13B2025.040.4450.4180.471—
VISAPublication=ECCV 20242026.030.4450.4180.471—
VISA-13BCategory=MLLM-based Segmentation Method, Venue=ECCV’242026.030.4450.4180.471—
VideoLISAFine-tuning=true2025.010.444———
VideoLISA-3.8BYear=2024, configuration=Post-optimization2024.090.4440.4130.476—
VideoLISABackbone=LLaVA-Phi-3-V2025.010.4440.4130.476—
VideoLISALLM usage=yes, Model Size=3.8B2025.040.4440.4130.476—
VideoLISAAccess=Specialized open models2026.010.444———
VideoLISAPublication=NeurIPS 20242026.030.4440.4130.476—
VideoLISACategory=MLLM-based Segmentation Method, Venue=NeurIPS’242026.030.4440.4130.476—
VideoLISACategory=Specialized open models2026.030.444———
VISABackbone=Chat-UniVi-7B2025.010.4350.4070.463—
VISALLM usage=yes, Model Size=7B2025.040.4350.4070.463—
VISAParameters=7B2026.010.435———
VISA-7BCategory=MLLM-based Segmentation Method, Venue=ECCV’242026.030.4350.4070.463—
MABP2024.050.4340.3990.469—
HTRBackbone=tiny2024.030.4270.3990.455—
HTR2024.050.4270.3990.455—
Gemini 3 ProAccess=API call only2026.010.425———
Gemini 3 ProCategory=API call only2026.030.425———
VideoLISA-3.8BYear=2024, configuration=One-Token-Seg-All2024.090.4230.3940.452—
LMPM + MTCMmodule=Multi-Context Enhancer (MTCM)2025.010.4230.3840.464—
TrackGPTBackbone=LLaVA-13B2025.010.4120.3920.431—
TrackGPTLLM usage=yes, Model Size=13B2025.040.4120.3920.431—
Gemini 2.5 ProAccess=API call only2026.010.407———
Gemini 2.5 ProCategory=API call only2026.030.407———
TrackGPTBackbone=LLaVA-7B2025.010.4010.3760.426—
TrackGPTLLM usage=yes, Model Size=7B2025.040.4010.3760.426—
TrackGPTParameters=7B2026.010.401———
LISABackbone=LLaVA-13B2025.010.3790.3580.4—
LISALLM usage=yes, Model Size=13B2025.040.3790.3580.4—
LISAPublication=CVPR 20242026.030.3790.3580.4—
LMPMBackbone=Swin-Tiny2024.040.3720.3420.402—
LMPM2024.050.3720.3420.402—
LMPMYear=20232024.090.3720.3420.402—
LMPM2024.030.3720.3420.402—
LMPM2024.050.3720.3420.402—
LMPM2025.010.3720.3420.402—
LMPMBackbone=Swin-T2025.010.3720.3420.402—