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Referring Image Segmentation on RefCOCOg (val)

75.3oIoUHIPIE
37.776847.518457.2667.0016Feb 14, 2023Aug 30, 2023Mar 14, 2024Sep 28, 2024Apr 13, 2025Oct 27, 2025May 13, 2026

Evaluation results

MethodLinks
HIPIEBackbone=ViT-H2023.0775.3——————
HIPIEBackbone=ViT-H2023.0775.3——————
UNINEXTBackbone=ViT-H2023.0774.7——————
UNINEXTBackbone=ViT-H2023.0774.7——————
GLaMMPublication=CVPR 2024, Vision Model=SAM-H, Language Model=Vicuna-7B, Multi-dataset training=false2026.0274.2——————
SAM4MLLM-7BPublication=ECCV 2024, Vision Model=SAM-XL, Language Model=Qwen-VL-7B, Multi-dataset training=false2026.0274.2——————
GSVA-7BPublication=CVPR 2024, Vision Model=SAM-H, Language Model=Vicuna-7B, Multi-dataset training=false2026.0272.7——————
SegLLMPublication=ICLR 2025, Vision Model=SAM-H, Language Model=Vicuna-7B, Multi-dataset training=false2026.0272.6——————
Text4Seg-7BPublication=ICLR 2025, Vision Model=SAM-H, Language Model=Vicuna-7B, Multi-dataset training=false2026.0272.1——————
GSVA-7BTraining Strategy=Combined2026.0271.1——————
PerceptionGPT-7BTraining Strategy=Combined2026.0270.3——————
VIPAPublication=-, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=true2026.0270.01————73.6—
UNINEXTBackbone=RN502023.0770——————
UNINEXTBackbone=RN502023.0770——————
HIPIEBackbone=RN502023.0769.8——————
HIPIEBackbone=RN502023.0769.8——————
PixelLMPublication=CVPR 2024, Vision Model=CLIP-VIT-L, Language Model=Vicuna-7B, Multi-dataset training=false2026.0269.3——————
PixelLM-7BTraining Strategy=Combined2026.0269.3——————
PolyFormer-LVisual Backbone=Swin-L, Text Encoder=BERT-base2023.0269.271.15—————
AMLTraining Strategy=Combined2026.0268.84——————
LISA-7BPublication=CVPR 2024, Vision Model=SAM-H, Language Model=Vicuna-7B, Multi-dataset training=false2026.0267.9——————
MagNetPublication=CVPR 2024, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=true2026.0267.79——————
MagNetTraining Strategy=Combined2026.0267.79——————
PolyFormer-BVisual Backbone=Swin-B, Text Encoder=BERT-base2023.0267.7669.36—————
PolyFormer-BPublication=CVPR 2023, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=true2026.0267.76————69.36—
PolyFormerTraining Strategy=Combined2026.0267.76——————
CARIS*Training Strategy=Combined2026.0267.44——————
F-LMMPublication=CVPR 2025, Vision Model=SAM-L, Language Model=LLaMA2-7B, Multi-dataset training=false2026.0267.1——————
VIPAPublication=-, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0265.93————69.98—
AMLTraining Strategy=Standard2026.0265.67————69.24—
MagNetPublication=CVPR 2024, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0265.36——————
MagNetTraining Strategy=Standard2026.0265.36————68.53—
PGBDTraining Strategy=Standard2026.0265.21————68.42—
CARIS*Training Strategy=Standard2026.0265.15————68.87—
ReLAPublication=CVPR 2023, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0265——————
LQMFormerPublication=CVPR 2024, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0264.73——————
RefTRBackbone=RN1012023.0764.7——————
RefTRBackbone=RN1012023.0764.7——————
CGFormerPublication=CVPR 2023, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0264.68————67.57—
CGFormerTraining Strategy=Standard2026.0264.68————67.57—
NeMoTraining Strategy=Standard2026.0264.4——————
ReMamberTraining Strategy=Standard2026.0263.9——————
VLTPublication=TPAMI 2023, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0263.49——————
DMMIPublication=ICCV 2023, Vision Model=Swin-B, Language Model=BERT-B, Multi-dataset training=false2026.0263.46——————
LAVTTraining Strategy=Standard2026.0261.24————63.34—
LTSVisual Backbone=DN53, Text Encoder=Bi-GRU2023.0254.4——————
VLTBackbone=Dark562023.0753——————
VLTBackbone=Dark562023.0753——————
OursVision Backbone=DiT, Pretrained Model=Step1X-Edit (12B), Training protocol=zero-shot methods w/o additional training, Number of Parameters=12B2026.0551.23————54.52—
CGANVisual Backbone=DN53, Text Encoder=Bi-GRU2023.0251.01——————
MCNVisual Backbone=DN53, Text Encoder=Bi-GRU2023.0249.22——————
MAttNetBackbone=RN1012023.0747.6——————
MAttNetBackbone=RN1012023.0747.6——————
OursVision Backbone=DiT, Pretrained Model=FLUX.2-klein (9B), Training protocol=zero-shot methods w/o additional training, Number of Parameters=9B2026.0546.9————50.62—
+B2GfixBackbone=DFN VIT-H/14, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0946.21——————
+B2GfixBackbone=DFN VIT-H/14, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0946.09——————
+B2Gdyn-clusBackbone=DFN VIT-H/14, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.87——————
+B2Gdyn-clusBackbone=DFN VIT-H/14, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.64——————
RefAMVision Backbone=DiT, Pretrained Model=SAM, FLUX.1-dev (12B), Training protocol=zero-shot methods w/o additional training, Number of Parameters=12B2026.0545.53————47.11—
+B2Gdyn-permBackbone=DFN VIT-H/14, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.3——————
+B2GfixBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.26——————
+B2Gdyn-permBackbone=DFN VIT-H/14, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.25——————
+B2Gdyn-clusBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.25——————
+B2Gdyn-permBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0945.18——————
+B2Gdyn-permBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.99——————
+B2Gdyn-clusBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.99——————
+B2GfixBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.89——————
+B2Gdyn-clusBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.76——————
+B2Gdyn-permBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.76——————
+B2Gdyn-clusBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.68——————
+B2GfixBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.63——————
+B2Gdyn-permBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.3——————
+B2GfixBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0944.13——————
+B2GBackbone=CLIP ViT-B/16, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0944.05——————
+B2GBackbone=CLIP ViT-B/16, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0944.03——————
HybridGLBackbone=CLIP ViT-B/16, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0943.69——————
HybridGLBackbone=CLIP ViT-B/16, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0943.65——————
Global-LocalBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0943.29——————
+B2Gdyn-permBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0942.92——————
Global-LocalBackbone=SigLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0942.85——————
+B2GfixBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0942.84——————
VLM-VGVision Backbone=R101, Pretrained Model=COCO∗, VLM-VG∗, Training protocol=zero-shot methods w/ additional training2026.0542.8————48—
+B2Gdyn-clusBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0942.77——————
HybridGLVision Backbone=ViT-B, Pretrained Model=SAM, CLIP, Training protocol=zero-shot methods w/o additional training2026.0542.47————51.25—
+B2GfixBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0942.2——————
Global-LocalBackbone=CLIP ViT-B/16, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0942.15——————
Global-LocalBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0941.88——————
Global-LocalBackbone=CLIP ViT-B/16, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0941.84——————
+B2Gdyn-clusBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0941.72——————
Pseudo-RISVision Backbone=ViT-B, Pretrained Model=SAM, CoCa, CLIP, Training protocol=zero-shot methods w/ additional training2026.0541.63————45.99—
+B2Gdyn-permBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0941.62——————
HybridGLBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0941.52——————
Global-LocalBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0941.49——————
HybridGLBackbone=CLIP ViT-B/16, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0941.05——————
HybridGLBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0940.63——————
HybridGLBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0940.17——————
Global-LocalBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0939.4——————
HybridGLBackbone=CLIP ViT-B/32, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0939.37——————
+B2GBackbone=CLIP ViT-B/32, Pre-trained Segmentor=SAM, Evaluation Protocol=Zero-shot2025.0939.24——————
Global-LocalBackbone=CLIP ViT-B/32, Pre-trained Segmentor=Mask2Former, Evaluation Protocol=Zero-shot2025.0939.22——————