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Referring Image Segmentation on RefCOCOg (test(U))

81.32mIoUDeRIS-L
48.123256.741665.3673.9784Dec 25, 2023May 24, 2024Oct 23, 2024Mar 23, 2025Aug 22, 2025Jan 20, 2026Jun 21, 2026

Evaluation results

MethodLinks
DeRIS-LVisual Encoder=Swin-B, Textual Encoder=BEIT3-L2025.0781.32———
DeRIS-L (published)Visual Enc.=Swin-B, Text Enc.=BEiT3-L, Evaluation pipeline=Reference (published protocol)2026.0681.32———
Venice-H1Visual Enc.=Swin-B, Text Enc.=BEiT3-L, Evaluation pipeline=Our evaluation pipeline2026.0681.14——0.03
DeRIS-L (reproduced)Visual Enc.=Swin-B, Text Enc.=BEiT3-L, Evaluation pipeline=Our evaluation pipeline2026.0681.11———
UniRef++-LVisual Backbone=Swin-L, Text Encoder=BERT-base2023.1277.2—72.84—
DeRIS-BVisual Encoder=Swin-S, Textual Encoder=BEIT3-B2025.0777.15———
DeRIS-BVisual Enc.=Swin-S, Text Enc.=BEiT3-B2026.0677.15———
C3VGVisual Encoder=BEIT3-B, Textual Encoder=BEIT3-B2025.0777.1———
C³VGPublication=AAAI2025, Backbone=BEIT3-ViT-B, Data=Com-RefC, Fine-tuned=true2025.0177.1———
C3VGVisual Enc.=BEiT3-B, Text Enc.=BEiT3-B2026.0677.1———
UniRef-LVisual Backbone=Swin-L, Text Encoder=ROBERTa-base2023.1277.09—73.36—
OneRef-LVisual Encoder=BEIT3-L, Textual Encoder=BEIT3-L2025.0776.82———
OneRef-LVisual Enc.=BEiT3-L, Text Enc.=BEiT3-L2026.0676.82———
SAM4MLLM-8BVisual Encoder=SAM-EfficientViT-XL1, Textual Encoder=Qwen-VL-7B2025.0776.4———
C³VG-oIoUPublication=AAAI2025, Backbone=BEIT3-ViT-B, Data=Com-RefC, Fine-tuned=true2025.0176.39———
PPCRMLLMs=LLaVA-7B2026.0376.1—75.7—
GLaMMMLLMs=LLaVA-7B2026.0375.66—74.7—
OneRefPublication=NeurIPS2024, Backbone=BEIT3-ViT-B, Data=Com-RefC, Fine-tuned=true2025.0174.92———
GLaMM-7BVisual Encoder=SAM-H + CLIP-H, Textual Encoder=Vicuna-7B2025.0774.9———
SegLLMMLLMs=LLaVA-7B2026.0374.43—73.24—
UniRef++-R50Visual Backbone=RN50, Text Encoder=BERT-base2023.1274.16—69.71—
EEVGVisual Encoder=ViT-B, Textual Encoder=BERT-B2025.0773.47———
EEVGPublication=ECCV2024, Backbone=ViT-B, Data=Com-RefC, Fine-tuned=true2025.0173.47———
GSVAPublication=CVPR2024, Backbone=Vicuna-7B, Fine-tuned=false2025.0173.3———
GSVA-7BBackbone=ViT-H2025.1273.3———
CMIRNetMLLMs=–2026.0373.18—72.09—
UniRef-R50Visual Backbone=RN50, Text Encoder=ROBERTa-base2023.1273.1—68.77—
SimVG-SegVisual Encoder=BEIT3-B, Textual Encoder=BEIT3-B2025.0773.02———
SimVG-SegVisual Enc.=BEiT3-B, Text Enc.=BEiT3-B2026.0673.02———
Prompt-RISVisual Encoder=SAM-B + CLIP-B, Textual Encoder=CLIP-B2025.0771.29———
Prompt-RISPublication=CVPR2024, Backbone=CLIP-VIT-B, Data=Com-RefC, Fine-tuned=true2025.0171.29———
PolyFormer-LVisual Encoder=Swin-L, Textual Encoder=BERT-B2025.0771.17———
PolyFormer-LVisual Backbone=Swin-L, Text Encoder=BERT-base2023.1271.17———
LISA-7B+Visual Encoder=SAM-H + CLIP-L, Textual Encoder=Vicuna-7B2025.0770.6———
LISAPublication=CVPR2024, Backbone=Vicuna-7B, Fine-tuned=false2025.0170.6———
LISA-7BBackbone=ViT-H2025.1270.6———
PixelLM-7BBackbone=CLIP-ViT-L2025.1270.5———
PolyFormerPublication=CVPR2023, Backbone=Swin-B, Data=Com-RefC, Fine-tuned=true2025.0169.88———
CGFormerVisual Encoder=Swin-B, Textual Encoder=BERT-B2025.0767.83———
RefTrVisual Backbone=RN101, Text Encoder=BERT-base2023.1267.39———
OmniSegNetBackbone=Swin-B2025.1266.27———
VG-LAWVisual Encoder=ViT-B, Textual Encoder=BERT-B2025.0766.08———
LQMFormerBackbone=Swin-B2025.1266.04———
ReLAPublication=CVPR2023, Backbone=Swin-B, Data=RefC, Fine-tuned=false2025.0165.97———
ReLABackbone=Swin-B2025.1265.97———
SeqTRVisual Backbone=DN53, Text Encoder=Bi-GRU2023.1265.74———
SeqTRPublication=ECCV2022, Backbone=DarkNet53, Data=Com-RefC, Fine-tuned=true2025.0165.74———
CoupAlignMLLMs=–2026.0364.32—62.22—
LAVTMLLMs=–2026.0363.63—62.09—
PVDVisual Encoder=Swin-B, Textual Encoder=BERT-B2025.0763.62———
LAVTVisual Backbone=Swin-B, Text Encoder=BERT-base2023.1263.62—62.09—
LAVTPublication=CVPR2022, Backbone=Swin-B, Data=RefC, Fine-tuned=false2025.0163.62———
PVDPublication=AAAI2024, Backbone=Swin-B, Data=Com-RefC, Fine-tuned=true2025.0163.62———
LAVTVisual Enc.=Swin-B, Text Enc.=BERT-B2026.0663.62———
LAVTBackbone=Swin-B2025.1262.09———
LISAMLLMs=LLaVA-7B2026.0361.63—61.78—
DITBackbone=ViT-B2025.1261.15———
CRISVisual Backbone=RN101, Text Encoder=GPT-22023.1260.36———
CRISPublication=CVPR2022, Backbone=ResNet101, Data=RefC, Fine-tuned=false2025.0160.36———
CRISVisual Enc.=CLIP-RN101, Text Enc.=CLIP-T2026.0660.36———
CRISMLLMs=–2026.0360.01———
VLTVisual Backbone=DN53, Text Encoder=Bi-GRU2023.1256.65———
MCNPublication=CVPR2020, Backbone=DarkNet53, Data=RefC, Fine-tuned=false2025.0149.4———
ASDAMLLMs=–2026.03——66.45—
CARISMLLMs=–2026.03——69.75—
CRIS2024.09—60.4——
DeRIS-7BVisual Enc.=Swin-B+SigLIP, Text Enc.=Qwen2-OV-7B2026.06—80.59——
DeRIS-7B+Visual Encoder=Swin-B + SigLIP, Textual Encoder=Qwen2-OV-7B2025.07—80.59——
EEVGMethod Category=Specialist Methods2026.06—73.5——
GLaMM2026.03—74.9——
GLaMM-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—74.9——
GLaMM-7BVisual Enc.=SAM-H+CLIP-H, Text Enc.=Vicuna-7B2026.06—74.9——
GSVAMLLMs=LLaVA-7B2026.03——73.3—
GSVA-13BVisual Encoder=SAM-H + CLIP-L, Textual Encoder=Vicuna-13B2025.07——75.6—
GSVA-13BVisual Enc.=SAM-H+CLIP-L, Text Enc.=Vicuna-13B2026.06—75.6——
HyperSeg2026.03—78.9——
InstanceVGMethod Category=Specialist Methods2026.06—76.6——
InstructSeg2026.03—80.3——
LAVT2024.09—62.1——
LISA-7BModel size=7B2024.09—68.5——
LISA-7BModel size=7B2026.03—70.6——
LISA-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—70.6——
LISA-7BVisual Enc.=SAM-H+CLIP-L, Text Enc.=Vicuna-7B2026.06—70.6——
LTSVisual Backbone=DN53, Text Encoder=Bi-GRU2023.12——54.25—
MCNVisual Backbone=DN53, Text Encoder=Bi-GRU2023.12——49.4—
MCN2024.09—49.4——
MomentSeg-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—72.3——
NExT-ChatMLLMs=7B2026.03——67—
OMG-LLaVA-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—70.2——
PixelLM-7BModel size=7B2026.03—70.5——
PixelThink-7BMethod Category=RL-based Methods, Model Size=7B2026.06—73.9——
PropVGMethod Category=Specialist Methods2026.06—77.7——
ReLA2024.09—66——
ReLAMethod Category=Specialist Methods2026.06—66——
ReMamberVisual Encoder=Mamba-B, Textual Encoder=CLIP-B2025.07—64——
SAM4MLLM-8BVisual Enc.=SAM-EfViT-XL1, Text Enc.=Qwen-VL-7B2026.06—76.4——
SAM4MLLMs-PQPPMLLMs=Qwen-VL-7B2026.03——75.2—
Seg-Zero-7BMethod Category=RL-based Methods, Model Size=7B2026.06—72.6——
VideoLISA-3.8BModel size=3.8B2024.09—68.8——
VideoSEG-O3-4BMethod Category=RL-based Methods, Model Size=4B2026.06—79——