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Referring Expression Segmentation on RefCOCO (val)

91.2cIoUEmpirical Upper Bound
76.6480.4284.287.98Mar 5, 2024Jul 19, 2024Dec 3, 2024Apr 18, 2025Sep 2, 2025Jan 16, 2026Jun 2, 2026

Evaluation results

MethodLinks
Empirical Upper BoundTraining regime=Oracle reference2026.0591.2————————
FlowSegLLM=Qwen3-4B2026.0585.8————————
X-SAM2026.0585.1————————
X-SAM2026.0585.1————————
HiMTok-8B(ft)w/o SMD=false, 1-Token=false, finetuned=true2026.0385————————
HyperSegType=MLLM-based Segmentation Network, SAM-based=false2024.1184.8————————
HyperSegw/o SMD=false, 1-Token=false, finetuned=false2026.0384.8————————
HyperSeg2026.0584.8————————
HyperSeg2026.0584.8————————
SELF1E-SEG-8Bw/o SMD=true, 1-Token=true, finetuned=false2026.0384.7————————
SELF1E-SEG-2Bw/o SMD=true, 1-Token=true, finetuned=false2026.0384.3————————
RSAgent (ours)Model Version=Qwen2.5-VL, Model Params=7B, RES Train=Y2025.1283.7————————
SETCON2026.0583.7————————
PSALMType=MLLM-based Segmentation Network, SAM-based=false2024.1183.6————————
PSALMtraining_regime=fine-tuning, model_type=LVLM2025.0383.6————————
PSALMText Prompt Encoder=Phi-1.5 (1.3B), SAM?=false, Training Data=C, RC, CI2024.0683.6————————
PSALMEvaluation protocol=Finetuned-based2026.0283.6————————
PSALMw/o SMD=false, 1-Token=false, finetuned=false2026.0383.6————————
PSALM2026.0583.6————————
PSALM2026.0583.6————————
RICEModel Version=Qwen2.5, Model Params=7B, RES Train=Y2025.1283.5————————
RICE2026.0583.5————————
Qwen3VL-SAMTokSize=4B2026.0183.4————————
u-LLaVAw/o SMD=false, 1-Token=true, finetuned=false2026.0383————————
SELF1E-8Bw/o SMD=true, 1-Token=true, finetuned=false2026.0382.5————————
EVF-SAMText Prompt Encoder=BEIT-3 (673M), SAM?=true, Training Data=RC, O, A, PP, PIN, HP2024.0682.4————————
Sa2VASize=4B2026.0182.4————————
Qwen25VL-SAMTokSize=3B2026.0182.4————————
EVF-SAMModel Version=Extra Data, Model Params=-, RES Train=Y2025.1282.4————————
EVF-SAM2026.0582.4————————
Qwen3-VL-Seg4BBackbone=Qwen3-VL-4B2026.0582.3————————
UNINEXTModel Category=Specialist Segmentation Model2024.0382.2————————
UNINEXTtraining_regime=fine-tuning, model_type=specialist2025.0382.2————————
UNINEXT-HText Prompt Encoder=BERT-B (104M), SAM?=false, Training Data=O, C, RC, V2024.0682.2————————
EVF-SAMText Prompt Encoder=BEIT-3 (673M), SAM?=true, Training Data=RC2024.0682.1————————
UniPixelSize=3B2026.0181.9————————
UniLSeg-100Text Prompt Encoder=CLIP-B (63M), SAM?=false, Training Data=SA, RC, gRC2024.0681.7————————
UniLSegModel Version=UniLSeg-100, Model Params=-, RES Train=Y2025.1281.7————————
UniLSeg2026.0581.7————————
Sa2VA2026.0581.6————————
Sa2VA-8BLLM=8B2026.0581.6————————
PaDT ProSize=3B2026.0181.3————————
HiMTok-8Bw/o SMD=false, 1-Token=false, finetuned=false2026.0381.1————————
DETRISModel Version=DETRIS-L, Model Params=-, RES Train=Y2025.1281————————
UFO-8B(ft)w/o SMD=true, 1-Token=false, finetuned=true2026.0381————————
DETRIS2026.0581————————
MLLMSeg2026.0581————————
SimpleSegArchitecture Style=Decoder-free, Pre-training status=true, Backbone=Qwen2.5-VL-7B2026.0180.9————————
Youtu-VL4BBackbone=VL4B2026.0580.7————————
RSAgent-singleModel Version=Qwen2.5, Model Params=7B, RES Train=Y2025.1280.6————————
UGround-7BParameters=7B2025.1080.6————————
UnipixelQwen2.5-VL-3BBackbone=Qwen2.5-VL-3B2026.0580.5————————
u-LLAVAText Prompt Encoder=Vicuna (7B), SAM?=true, Training Data=A, CS, RC, PL, PV2024.0680.4————————
SegLLM-7BParameters=7B2025.1080.2————————
SELF1E-2Bw/o SMD=true, 1-Token=true, finetuned=false2026.0380.2————————
NTP + LLL + SAMEvaluation protocol=Logit Lens, Backbone=Qwen2.5-VL-7B-Instr, Training=NTP + LLL, Post-processing=frozen SAM2026.0280.1————————
SimpleSegArchitecture Style=Decoder-free, Pre-training status=true, Backbone=Kimi-VL2026.0180————————
UFO-8Bw/o SMD=true, 1-Token=false, finetuned=false2026.0380————————
GLEE2026.0580————————
SAM4MLLMModel Version=LLaVA1.6, Model Params=8B, RES Train=Y2025.1279.8————————
SAM4MLLM-8Bw/o SMD=false, finetuned=false2026.0379.8————————
SAM4MLLM2026.0579.8————————
SAM4MLLM-7BType=MLLM-based Segmentation Network, SAM-based=false2024.1179.6————————
SAM4MLLM-7BLLM=7B2026.0579.6————————
GLaMMType=MLLM-based Segmentation Network, SAM-based=true2024.1179.5————————
GLaMMtraining_regime=fine-tuning, model_type=LVLM2025.0379.5————————
GLAMMText Prompt Encoder=Vicuna (7B), SAM?=true, Training Data=G, RC2024.0679.5————————
GLaMMEvaluation protocol=Finetuned-based2026.0279.5————————
GLaMMModel Version=Vicuna, Model Params=7B, RES Train=Y2025.1279.5————————
GLaMM-7BParameters=7B2025.1079.5————————
GLaMMw/o SMD=false, 1-Token=true, finetuned=false2026.0379.5————————
MLLMSegInternVL2.5-4BBackbone=InternVL2.5-4B2026.0579.5————————
GLaMM2026.0579.5————————
POPENFinetuning=true2025.0479.3————————
Text4Seg (w/ SAM)Architecture Style=Decoder-based, Pre-training status=false2026.0179.2————————
GSVAModel Version=LLaVA1.5, Model Params=13B, RES Train=Y2025.1279.2————————
Text4SegInternVL2-8BBackbone=InternVL2-8B2026.0579.2————————
SegAgent+SAMLLaVA-7BBackbone=LLaVA-7B2026.0579.2————————
GSVA2026.0579.2————————
Text4Seg2026.0579.2————————
UniRef++training_regime=fine-tuning, model_type=specialist2025.0379.1————————
UniRef++-LText Prompt Encoder=BERT-B (104M), SAM?=false, Training Data=RC, F, V2024.0679.1————————
GroundHog-7BType=MLLM-based Segmentation Network, SAM-based=false2024.1178.5————————
POPEN2025.0478.5————————
GroundhogArchitecture Style=Decoder-based, Pre-training status=false2026.0178.5————————
GroundHog-7Bw/o SMD=false, 1-Token=false, finetuned=false2026.0378.5————————
MIRASTraining Stage=Stage-1, LLaVA version=v1.62025.0278.4————————
READ-7BParameters=7B2025.1078.1————————
SegAgent-Qwen+SAMEvaluation Protocol=finetuned, Evaluation Subset=full val2026.0678.01————————
OMG-LLaVAType=MLLM-based Segmentation Network, SAM-based=false2024.1178————————
OMG-LLaVA2025.0278————————
OMG-LLaVA2025.1078————————
OMG-LLaVA(ft)w/o SMD=false, 1-Token=true, finetuned=true2026.0378————————
UFOInternVL2-8BBackbone=InternVL2-8B2026.0578————————
GSVA-13Btraining_regime=fine-tuning, model_type=LVLM2025.0377.7————————
GSVA-13BEvaluation protocol=Finetuned-based, Parameters=13B2026.0277.7————————
GSVAFinetuning=true2025.0477.2————————
GSVAArchitecture Style=Decoder-based, Pre-training status=false2026.0177.2————————
UFOLLaVA-1.5-7BArchitecture Style=Decoder-free, Pre-training status=false2026.0177.2————————
GSVA-7Bfine-tuned=true2026.0177.2————————