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Referring Video Object Segmentation on Ref-YouTube-VOS (val)

74.2J&F ScoreVIRST
63.2866.11568.9571.785Jul 25, 2023Jan 4, 2024Jun 15, 2024Nov 25, 2024May 7, 2025Oct 17, 2025Mar 30, 2026

Evaluation results

MethodLinks
VIRSTCategory=MLLM-based Segmentation Method, Venue=-2026.0374.2—72.276.1——
MPG-SAM2Category=Segmentation Expert, Venue=ICCV’252026.0373.9—71.776.1——
VideoLoomParameters=8B2026.0171.3—————
VRS-HQBackbone=Chat-UniVi-13B2025.0171—6973.1——
VRS-HQParameters=13B2026.0171—————
VRS-HQ-13BCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.0371—6973.1——
Sa2VA-8BAccess=Specialized open models2026.0170.7—————
Sa2VAParameters=8B2026.0170.7—————
Sa2VA-8BCategory=Specialized open models2026.0370.7—————
SAMWISECategory=Segmentation Expert, Venue=CVPR’252026.0370.6—69.267.8——
MolmoPoint-8BCategory=MolmoPoint2026.0370.5——81.9—80.5
VRS-HQBackbone=Chat-UniVi-7B2025.0170.4—68.372.5——
VRS-HQParameters=7B2026.0170.4—————
VRS-HQ-7BCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.0370.4—68.372.5——
Molmo2-4BAccess=Open weights, Open data (no distillation), Open code2026.0170.2——80.4—78.8
Molmo2-8BAccess=Open weights, Open data (no distillation), Open code2026.0170.2——78.7—77.3
Molmo2-4BCategory=Fully open2026.0370.2——80.4—78.8
Molmo2-8BCategory=Fully open2026.0370.2——78.7—77.3
ReferDINOCategory=Segmentation Expert, Venue=ICCV’252026.0369.3—6771.5——
HyperSegCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.0368.5—————
MUTRPublication=arXiv'23, Referring & Video Training Data=RefC, RefYT, AVSB2024.0668.4—66.470.4——
Sa2VA-Qwen3-VL-4BAccess=Specialized open models2026.0168.1—————
Sa2VA-Qwen3-VL-4BCategory=Specialized open models2026.0368.1—————
Molmo2-O-7BAccess=Open weights, Open data (no distillation), Open code2026.0167.9——77.7—76.1
Molmo2-O-7BCategory=Fully open2026.0367.9——77.7—76.1
LMPM++Backbone=Video-Swin-Base2025.1267.8—65.769.9——
VLP-RVOS (VLMo)Visual Backbone=VLMo-L, FLOPS (G)=183, Speed (FPS)=22, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0567.6—65.369.8——
ViLLaParameters=6B2026.0167.5—————
InstructSegCategory=MLLM-based Segmentation Method, Venue=ICCV’252026.0367.5—65.469.5——
ViLLa-6BCategory=MLLM-based Segmentation Method, Venue=ICCV’252026.0367.5—64.670.4——
UniRef-LVisual Encoder=Swin-L2023.1267.4—65.569.2——
UniRefPublication=ICCV'23, Referring & Video Training Data=RefC, RefYT, RefD, YT, O, LV2024.0667.4—65.569.2——
SOCPublication=NeurIPS'23, Referring & Video Training Data=RefC, RefYT2024.0667.3—65.369.3——
SOCLLM usage=no2025.0467.3—65.369.3——
GLUSLLM usage=yes, SFT strategy=additional-SFT2025.0467.3—65.569——
VideoMolmo-7BAccess=Specialized open models2026.0167.3——73.7——
GLUSParameters=7B2026.0167.3—————
VideoMolmo-7BCategory=Fully open2026.0367.3——73.7——
LoShBackbone=Video-Swin-Base2025.1267.2—65.469——
DsHmpBackbone=Video-Swin-Base2024.0467.1—6569.1——
DsHmpVisual Backbone=Video-Swin-B, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0567.1—6569.1——
HTRVisual Backbone=Swin-L, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0567.1—65.368.9——
DsHmpLLM usage=no2025.0467.1—6569.1——
DsHmpBackbone=Video-Swin-Base2025.1267.1—6569.1——
UniRef++-LVisual Encoder=Swin-L2023.1266.9—64.869——
VideoGLaMM2024.1166.8—65.468.2——
VideoGLaMMAccess=Specialized open models2026.0166.8—————
VideoGLaMMCategory=MLLM-based Segmentation Method, Venue=CVPR’252026.0366.8—65.468.2——
VideoGLaMMCategory=Specialized open models2026.0366.8—————
GLUSLLM usage=yes, SFT strategy=standard-SFT2025.0466.6—6568.3——
ViLLaLLM usage=yes2025.0466.5—64.668.6——
UniNEXTPublication=CVPR'23, Referring & Video Training Data=RefC, RefYT, G, La, T, YT, B, V, O2024.0666.2—6468.4——
DEVAImage Model=ReferFormer, Setting=offline2023.0966—————
SOCBackbone=Video-Swin-Base2024.0466—64.167.9——
DEVAPublication=ICCV'23, Referring & Video Training Data=RefC, RefYT, YT, D, O2024.0666—————
SOCVisual Backbone=Video-Swin-B, FLOPS (G)=98, Speed (FPS)=34, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0566—64.167.9——
VLP-RVOS (CLIP)Visual Backbone=ViT-L/14, FLOPS (G)=219, Speed (FPS)=30, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0566—63.668.3——
SOCBackbone=Video-Swin-Base2025.1266—64.167.9——
TempCDBackbone=Video-Swin-Base2024.0465.8—63.668——
TempCDPublication=ICCV'23, Referring & Video Training Data=RefC, RefYT2024.0665.8—63.668——
TempCDVisual Backbone=Video-Swin-B, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0565.8—63.668——
TempCDLLM usage=no2025.0465.8—63.668——
TempCDBackbone=Video-Swin-Base2025.1265.8—63.668——
SgMgYear=2023, Backbone=Video-Swin-B, Pre-training=RefCOCO/+/g2023.0765.7—63.967.440—
SgMgBackbone=Video-Swin-Base2024.0465.7—63.967.4——
SgMgPublication=ICCV'23, Referring & Video Training Data=RefC, RefYT2024.0665.7—63.967.4——
SgMgVisual Backbone=Video-Swin-B, FLOPS (G)=121, Speed (FPS)=41, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0565.7—63.967.4——
ReLABackbone=Video-Swin-B2026.0165.7—63.867.5——
SgMgBackbone=Video-Swin-Base2025.1265.7—63.967.4——
GroPromptPublication=-, Referring & Video Training Data=RefC (box), RefYT (box)2024.0665.5—64.166.9——
VATEXBackbone=Video-Swin-B, Pre-training=RefCOCO(+/g) weights2024.0465.4—63.367.5——
SDAMPublication=Ours2026.0365.3—63.467.1——
EPCFormerPublication=arXiv'23, Referring & Video Training Data=RefYT, AVOS2024.0665—62.967.2——
ReferFormerVisual Encoder=Video-Swin2023.1264.9—62.867——
UniLSeg-100variant=1002023.1264.9—62.867——
Molmo + SAM 2Access=Specialized open models2026.0164.6——71.1——
Molmo + SAM 2Category=Fully open2026.0364.6——71.1——
DMVSPublication=CVPR 20252026.0364.3—62.466.2——
SSAPublication=CVPR 20252026.0364.3—62.266.4——
ReferFormerVisual Encoder=Swin-L2023.1264.2—62.366.2——
LoShPublication=arXiv'23, Referring & Video Training Data=RefC, RefYT2024.0664.2—62.566——
VATEXBackbone=Swin-L, Pre-training=RefCOCO(+/g) weights2024.0464.2—61.467——
LoShLLM usage=no2025.0464.2—62.566——
UniLSeg-20variant=202023.1264.1—61.966.3——
LMPM++Backbone=Video-Swin-Tiny2025.1264—62.265.8——
VLTSetting=offline2023.0963.8—————
VLT+Visual Encoder=Video-Swin2023.1263.8—61.965.6——
VLTPublication=TPAMI'23, Referring & Video Training Data=RefC, RefYT2024.0663.8—61.965.6——
VLTVisual Backbone=Video-Swin-B, Training Protocol=Pretrained on Ref-COCO/+/g and fine-tuned on Ref-Youtube-VOS2024.0563.8—61.965.6——
VLTBackbone=Video-Swin-B, Pre-training=RefCOCO(+/g) weights2024.0463.8—61.965.6——
VLT2023.1263.8—61.965.6——
VLTBackbone=Video-Swin-B2026.0163.8—61.965.6——
VideoLISABackbone=LLaVA-Phi-3-V2025.0163.7—61.765.7——
VideoLISA2024.1163.7—65.761.7——
VideoLISALLM usage=yes, Model Size=3.8B2025.0463.7—61.765.7——
VideoLISAAccess=Specialized open models2026.0163.7—————
LoShBackbone=Video-Swin-Tiny2025.1263.7—6265.4——
VideoLISAPublication=NeurIPS 20242026.0363.7—61.765.7——
VideoLISACategory=MLLM-based Segmentation Method, Venue=NeurIPS’242026.0363.7—61.765.7——
VideoLISACategory=Specialized open models2026.0363.7—————