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Referring Image Segmentation on RefCOCOg (val (U))

80.01mIoUDeRIS-L
47.988456.301764.61572.9283Dec 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-L2025.0780.01———
DeRIS-L (published)Visual Enc.=Swin-B, Text Enc.=BEiT3-L, Evaluation pipeline=Reference (published protocol)2026.0680.01———
DeRIS-L (reproduced)Visual Enc.=Swin-B, Text Enc.=BEiT3-L, Evaluation pipeline=Our evaluation pipeline2026.0679.8———
Venice-H1Visual Enc.=Swin-B, Text Enc.=BEiT3-L, Evaluation pipeline=Our evaluation pipeline2026.0679.8——0
UniRef-LVisual Backbone=Swin-L, Text Encoder=ROBERTa-base2023.1276.65—73.04—
C3VGVisual Encoder=BEIT3-B, Textual Encoder=BEIT3-B2025.0776.34———
C³VGPublication=AAAI2025, Backbone=BEIT3-ViT-B, Data=Com-RefC, Fine-tuned=true2025.0176.34———
C3VGVisual Enc.=BEiT3-B, Text Enc.=BEiT3-B2026.0676.34———
DeRIS-BVisual Encoder=Swin-S, Textual Encoder=BEIT3-B2025.0776.3———
DeRIS-BVisual Enc.=Swin-S, Text Enc.=BEiT3-B2026.0676.3———
UniRef++-LVisual Backbone=Swin-L, Text Encoder=BERT-base2023.1276—71.37—
PPCRMLLMs=LLaVA-7B2026.0375.94—74.92—
OneRef-LVisual Encoder=BEIT3-L, Textual Encoder=BEIT3-L2025.0775.68———
OneRef-LVisual Enc.=BEiT3-L, Text Enc.=BEiT3-L2026.0675.68———
SAM4MLLM-8BVisual Encoder=SAM-EfficientViT-XL1, Textual Encoder=Qwen-VL-7B2025.0775.5———
GLaMMMLLMs=LLaVA-7B2026.0375.11—73.66—
C³VG-oIoUPublication=AAAI2025, Backbone=BEIT3-ViT-B, Data=Com-RefC, Fine-tuned=true2025.0174.43———
GLaMM-7BVisual Encoder=SAM-H + CLIP-H, Textual Encoder=Vicuna-7B2025.0774.2———
SegLLMMLLMs=LLaVA-7B2026.0374.19—72.3—
OneRefPublication=NeurIPS2024, Backbone=BEIT3-ViT-B, Data=Com-RefC, Fine-tuned=true2025.0174.05———
EEVGVisual Encoder=ViT-B, Textual Encoder=BERT-B2025.0773.56———
EEVGPublication=ECCV2024, Backbone=ViT-B, Data=Com-RefC, Fine-tuned=true2025.0173.56———
UniRef++-R50Visual Backbone=RN50, Text Encoder=BERT-base2023.1273.37—68.38—
GSVAPublication=CVPR2024, Backbone=Vicuna-7B, Fine-tuned=false2025.0172.7———
GSVA-7BBackbone=ViT-H2025.1272.7———
CMIRNetMLLMs=–2026.0372.6—70.36—
SimVG-SegVisual Encoder=BEIT3-B, Textual Encoder=BEIT3-B2025.0772.19———
SimVG-SegVisual Enc.=BEiT3-B, Text Enc.=BEiT3-B2026.0672.19———
UniRef-R50Visual Backbone=RN50, Text Encoder=ROBERTa-base2023.1271.76—66.96—
PolyFormer-LVisual Encoder=Swin-L, Textual Encoder=BERT-B2025.0771.15———
PolyFormer-LVisual Backbone=Swin-L, Text Encoder=BERT-base2023.1271.15———
Prompt-RISVisual Encoder=SAM-B + CLIP-B, Textual Encoder=CLIP-B2025.0770.47———
Prompt-RISPublication=CVPR2024, Backbone=CLIP-VIT-B, Data=Com-RefC, Fine-tuned=true2025.0170.47———
PolyFormerPublication=CVPR2023, Backbone=Swin-B, Data=Com-RefC, Fine-tuned=true2025.0169.36———
PixelLM-7BBackbone=CLIP-ViT-L2025.1269.3———
LISA-7B+Visual Encoder=SAM-H + CLIP-L, Textual Encoder=Vicuna-7B2025.0767.9———
LISAPublication=CVPR2024, Backbone=Vicuna-7B, Fine-tuned=false2025.0167.9———
LISA-7BBackbone=ViT-H2025.1267.9———
CGFormerVisual Encoder=Swin-B, Textual Encoder=BERT-B2025.0767.57———
RefTrVisual Backbone=RN101, Text Encoder=BERT-base2023.1266.63———
VG-LAWVisual Encoder=ViT-B, Textual Encoder=BERT-B2025.0765.53———
ReLAPublication=CVPR2023, Backbone=Swin-B, Data=RefC, Fine-tuned=false2025.0165———
ReLABackbone=Swin-B2025.1265———
OmniSegNetBackbone=Swin-B2025.1264.9———
LQMFormerBackbone=Swin-B2025.1264.73———
SeqTRVisual Backbone=DN53, Text Encoder=Bi-GRU2023.1264.69———
SeqTRPublication=ECCV2022, Backbone=DarkNet53, Data=Com-RefC, Fine-tuned=true2025.0164.69———
CoupAlignMLLMs=–2026.0363.76—62.84—
LAVTVisual Backbone=Swin-B, Text Encoder=BERT-base2023.1263.34—61.24—
LAVTPublication=CVPR2022, Backbone=Swin-B, Data=RefC, Fine-tuned=false2025.0163.34———
LAVTMLLMs=–2026.0363.34—61.23—
LAVTVisual Enc.=Swin-B, Text Enc.=BERT-B2026.0663.34———
PVDVisual Encoder=Swin-B, Textual Encoder=BERT-B2025.0763.13———
PVDPublication=AAAI2024, Backbone=Swin-B, Data=Com-RefC, Fine-tuned=true2025.0163.13———
LAVTBackbone=Swin-B2025.1261.24———
LISAMLLMs=LLaVA-7B2026.0361.08—60.91—
DITBackbone=ViT-B2025.1260.18———
CRISVisual Backbone=RN101, Text Encoder=GPT-22023.1259.87———
CRISPublication=CVPR2022, Backbone=ResNet101, Data=RefC, Fine-tuned=false2025.0159.87———
CRISVisual Enc.=CLIP-RN101, Text Enc.=CLIP-T2026.0659.87———
CRISMLLMs=–2026.0359.69———
VLTVisual Backbone=DN53, Text Encoder=Bi-GRU2023.1252.99———
MCNPublication=CVPR2020, Backbone=DarkNet53, Data=RefC, Fine-tuned=false2025.0149.22———
ASDAMLLMs=–2026.03——65.73—
CARISMLLMs=–2026.03——67.95—
CRIS2024.09—59.9——
DeRIS-7BVisual Enc.=Swin-B+SigLIP, Text Enc.=Qwen2-OV-7B2026.06—80.62——
DeRIS-7B+Visual Encoder=Swin-B + SigLIP, Textual Encoder=Qwen2-OV-7B2025.07—80.62——
EEVGMethod Category=Specialist Methods2026.06—73.6——
GLaMM2026.03—74.2——
GLaMM-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—74.2——
GLaMM-7BVisual Enc.=SAM-H+CLIP-H, Text Enc.=Vicuna-7B2026.06—74.2——
GSVAMLLMs=LLaVA-7B2026.03——72.7—
GSVA-13BVisual Encoder=SAM-H + CLIP-L, Textual Encoder=Vicuna-13B2025.07——74.2—
GSVA-13BVisual Enc.=SAM-H+CLIP-L, Text Enc.=Vicuna-13B2026.06—74.2——
HyperSeg2026.03—79.4——
InstanceVGMethod Category=Specialist Methods2026.06—75.9——
InstructSeg2026.03—79.3——
LAVT2024.09—61.2——
LISA-7BModel size=7B2024.09—66.4——
LISA-7BModel size=7B2026.03—67.9——
LISA-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—67.9——
LISA-7BVisual Enc.=SAM-H+CLIP-L, Text Enc.=Vicuna-7B2026.06—67.9——
LTSVisual Backbone=DN53, Text Encoder=Bi-GRU2023.12——54.4—
MCNVisual Backbone=DN53, Text Encoder=Bi-GRU2023.12——49.22—
MCN2024.09—49.2——
MomentSeg-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—70.8——
NExT-ChatMLLMs=7B2026.03——67—
OMG-LLaVA-7BMethod Category=MLLM-based Methods, Model Size=7B2026.06—70.7——
PixelLM-7BModel size=7B2026.03—69.3——
PropVGMethod Category=Specialist Methods2026.06—77——
ReLA2024.09—65——
ReLAMethod Category=Specialist Methods2026.06—65——
ReMamberVisual Encoder=Mamba-B, Textual Encoder=CLIP-B2025.07—63.9——
Sa2VA-4BMethod Category=MLLM-based Methods, Model Size=4B2026.06—74.1——
SAM4MLLM-8BVisual Enc.=SAM-EfViT-XL1, Text Enc.=Qwen-VL-7B2026.06—75.5——
SAM4MLLMs-PQPPMLLMs=Qwen-VL-7B2026.03——74.5—
SEEM2024.09—65.7——
VideoLISA-3.8BModel size=3.8B2024.09—68.3——
VideoSEG-O3-4BMethod Category=RL-based Methods, Model Size=4B2026.06—78.9——