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Object Detection on ODinW-13

72.4APGrounding DINO 1.5 Pro
18.11232.20646.360.394May 30, 2023Nov 9, 2023Apr 20, 2024Sep 30, 2024Mar 12, 2025Aug 22, 2025Feb 2, 2026

Evaluation results

MethodLinks
Grounding DINO 1.5 ProBackbone=ViT-L, Evaluation Protocol=fine-tuned2024.0572.4———————————————
DetCLIPv3Backbone=Swin-L2024.0472.1———————————————
DetCLIPv3Backbone=Swin-L2024.0572.1———————————————
DetCLIPv3Backbone=Swin-T2024.0471.1———————————————
GLIPv2Backbone=Swin-H2024.0470.4———————————————
DetCLIPv2Backbone=Swin-L2024.0470.4———————————————
GLIPv2Backbone=Swin-H2024.0570.4———————————————
GLEE-ProBackbone=ViT-L2024.0569———————————————
GLIPBackbone=Swin-L2024.0468.9———————————————
GLIPBackbone=Swin-L2024.0568.9———————————————
DetCLIPv2Backbone=Swin-T2024.0468———————————————
DINO-Swin-LLanguage Query=false, Vision Query=false, Backbone=Swin-L, Pre-train Data=O365, Data Size=0.66M, Evaluation Setting=Full-Shot2023.0567.3———————————————
GLIPv2Backbone=Swin-T2024.0466.5———————————————
OmDetLanguage Query=true, Vision Query=false, Backbone=ConvNeXt-B, Pre-train Data=COCO, O365, LVIS, PhraseCut, Data Size=1.8M, Evaluation Setting=Full-Shot2023.0565.3———————————————
GLIPBackbone=Swin-T2024.0464.9———————————————
MQ-GLIP-TLanguage Query=true, Vision Query=true, Backbone=Swin-T, Pre-train Data=O365+, Data Size=0.66M, Evaluation Setting=Full-Shot2023.0562.5———————————————
GLIP-TLanguage Query=true, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, GoldG, Cap4M, Data Size=5.5M, Evaluation Setting=Full-Shot2023.0561.9———————————————
APE (B)Backbone=ViT-L, Pre-training data=COCO, LVIS, O365, OID, VG, Evaluation Protocol=Supervised2024.0559.8———————————————
DyHead-TLanguage Query=false, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, Data Size=0.66M, Evaluation Setting=Full-Shot2023.0558.7———————————————
Grounding DINO 1.5 ProBackbone=ViT-L [6], Pre-training data=Grounding-20M, Evaluation Protocol=Zero-shot2024.0558.7———————————————
Grounding DINO 1.5 ProBackbone=ViT-L, Evaluation Protocol=zero-shot2024.0558.7———————————————
MQ-GLIP-TLanguage Query=true, Vision Query=true, Backbone=Swin-T, Pre-train Data=O365+, Data Size=0.66M, Evaluation Setting=Few-Shot (3-shot)2023.0557———————————————
Grounding DINOBackbone=Swin-L [19], Pre-training data=O365, OID, GoldG, Cap4M, COCO, RefC, Evaluation Protocol=Supervised2024.0557———————————————
Grounding DINOBackbone=Swin-L, Pre-training data=O365, OID, GoldG, Evaluation Protocol=Zero-shot2024.0556.9———————————————
OmDet-Turbo-BBackbone=ConvNeXt-B [20], Pre-training data=O365, GoldG, PhraseCut, Hake, HOI-A, Evaluation Protocol=Zero-shot2024.0554.7———————————————
MQ-GLIP-LLanguage Query=true, Vision Query=true, Backbone=Swin-L, Pre-train Data=O365+, Data Size=0.66M, Evaluation Setting=Finetuning-free2023.0554.1———————————————
MQ-GLIPBackbone=Swin-L, Pre-training data=O365, Evaluation Protocol=Zero-shot2024.0554.1———————————————
WeDetect-LargeBackbone=ConvNext-L, Resolution=1280*1280, #Params=490M, FPS=6, Zero-shot=true2025.1253.4———————————————
GLEE-ProBackbone=ViT-L [6], Pre-training data=GLEE-merged-10M (COCO, LVIS, etc.), Evaluation Protocol=Supervised2024.0553.4———————————————
MM-G-T(c3)Backbone=Swin-T, Zero-shot=true2024.0153.3———————————————
LLMDetBackbone=Swin-L, Resolution=1000*1560, #Params=343M, FPS=2.1, Zero-shot=true2025.1253.3———————————————
WeDetect-Bscale=Base2026.0253.1———————————————
WeDetect-BaseBackbone=ConvNext-B, Resolution=640*640, #Params=176M, FPS=35.1, Zero-shot=true2025.1253.1———————————————
OWL-ViTBackbone=ViT L/14(CLIP), Zero-shot transfer=true2025.0153———————————————
OWL-STBackbone=CLIP L/14 [23], Pre-training data=WebLI2B, Evaluation Protocol=Zero-shot2024.0553———————————————
GLIPv2Backbone=Swin-H [32], Pre-training data=FourODS, COCO, GoldG, CC15M, SBU, Evaluation Protocol=Supervised2024.0552.6———————————————
MM-GDINOBackbone=Swin-T, Zero-shot transfer=true2025.0152.5———————————————
MM-GDINOBackbone=Swin-T, Resolution=800*1333, #Params=172M, FPS=6, Zero-shot=true2025.1252.5———————————————
G-DINO-L2026.0152.412.628.171.75272.363.96671.430.465.862.521.362.7——
LLMDetBackbone=Swin-T, Zero-shot transfer=true2025.0152.1———————————————
LLMDet-Tscale=Tiny2026.0252.1———————————————
LLMDetBackbone=Swin-T, Resolution=800*1333, #Params=172M, FPS=6, Zero-shot=true2025.1252.1———————————————
GLIPBackbone=Swin-L, Pre-training data=FourODs, GoldG, Cap24M, Evaluation Protocol=Zero-shot2024.0552.1———————————————
G-DINO-T(c)Backbone=Swin-T, Zero-shot=true2024.0151.4———————————————
Grounding-DINOBackbone=Swin-T, Zero-shot transfer=true2025.0151.4———————————————
Grounding-DINO-Tscale=Tiny2026.0251.4———————————————
Grounding-DINOBackbone=Swin-T, Resolution=800*1333, #Params=172M, FPS=6, Zero-shot=true2025.1251.4———————————————
MM-G-T(c1)Backbone=Swin-T, Zero-shot=true2024.0151.1———————————————
MM-G-T(c2)Backbone=Swin-T, Zero-shot=true2024.0151.1———————————————
GLIP-LLanguage Query=true, Vision Query=false, Backbone=Swin-L, Pre-train Data=FourODs, GoldG, Cap24M, Data Size=27.5M, Evaluation Setting=Finetuning-free2023.0551———————————————
MQ-GroundingDINO-TLanguage Query=true, Vision Query=true, Backbone=Swin-T, Pre-train Data=O365+, Data Size=0.66M, Evaluation Setting=Finetuning-free2023.0550.9———————————————
ObjEmbed-4Bparameters=4B2026.0250.8———————————————
GLIPv2-TLanguage Query=true, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, GoldG, Cap4M, Data Size=5.5M, Evaluation Setting=Finetuning-free2023.0550.7———————————————
GLIP-TLanguage Query=true, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, GoldG, Cap4M, Data Size=5.5M, Evaluation Setting=Few-Shot (3-shot)2023.0550.7———————————————
T-Rex2Backbone=Swin-L, Resolution=800*1333, Zero-shot=true2025.1250.3———————————————
OWLv2 (L/14)backbone=L/142026.0250.1———————————————
DetCLIPBackbone=Swin-L, Resolution=800*1333, Zero-shot=true2025.1250———————————————
Grounding DINO-TLanguage Query=true, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, GoldG, Cap4M, Data Size=5.5M, Evaluation Setting=Finetuning-free2023.0549.8———————————————
ObjEmbed-2Bparameters=2B2026.0249.8———————————————
Grounding DINOBackbone=Swin-T, Pre-training data=O365, GoldG, Cap4M, Evaluation Protocol=Zero-shot2024.0549.8———————————————
GDINO-TBackbone=Swin-T, Pre-train Data=OG, Cap4M, #Params=172M, Resolution=800x1333, Zero-shot=true2026.0149.7———————————————
DINO-Swin-TLanguage Query=false, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, Data Size=0.66M, Evaluation Setting=Few-Shot (3-shot)2023.0549———————————————
OmDetLanguage Query=true, Vision Query=false, Backbone=ConvNeXt-B, Pre-train Data=COCO, O365, LVIS, PhraseCut, Data Size=1.8M, Evaluation Setting=Few-Shot (3-shot)2023.0548.5———————————————
GLIPv2Backbone=Swin-T, Zero-shot transfer=true2025.0148.5———————————————
WeDetect-Ref-2Bparameters=2B2026.0248.2———————————————
Qwen3-VL-4Bparameters=4B2026.0248.2———————————————
ExpAlignBackbone=ConvNeXt-T, Pre-train Data=OG, #Params=60M, Resolution=640x640, Zero-shot=true2026.0148———————————————
ExpAlignBackbone=ConvNeXt-T, Pre-train Data=OG, RefC, #Params=60M, Resolution=640x640, Zero-shot=true2026.0147.7———————————————
WeDetect-Ref-4Bparameters=4B2026.0247.3———————————————
UniDetectorBackbone=ResNet50 [8], Pre-training data=COCO, O365, OID, Evaluation Protocol=Zero-shot2024.0547.3———————————————
GLIPBackbone=Swin-T, Zero-shot transfer=true2025.0146.5———————————————
GLIP-Tscale=Tiny2026.0246.5———————————————
GLIPBackbone=Swin-T, Resolution=800*1333, #Params=232M, FPS=5.4, Zero-shot=true2025.1246.5———————————————
WeDetect-TinyBackbone=ConvNext-T, Resolution=640*640, #Params=33M, FPS=62.5, Zero-shot=true2025.1246.4———————————————
MQ-GLIP-TLanguage Query=true, Vision Query=true, Backbone=Swin-T, Pre-train Data=O365+, Data Size=0.66M, Evaluation Setting=Finetuning-free2023.0545.6———————————————
MM-G-T(b)Backbone=Swin-T, Zero-shot=true2024.0145.3———————————————
VLM-FO1-3Bparameters=3B2026.0244———————————————
OmDetLanguage Query=true, Vision Query=false, Backbone=ConvNeXt-B, Pre-train Data=COCO, O365, LVIS, PhraseCut, Data Size=1.8M, Evaluation Setting=Finetuning-free2023.0543.6———————————————
Qwen3-VL-2Bparameters=2B2026.0243.4———————————————
DetCLIPLanguage Query=true, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, GoldG, YFCC1M, Data Size=2.4M, Evaluation Setting=Finetuning-free2023.0543.3———————————————
DetCLIPBackbone=Swin-T, Zero-shot transfer=true2025.0143.3———————————————
DetCLIPBackbone=Swin-T, Resolution=800*1333, Zero-shot=true2025.1243.3———————————————
DyHead-TLanguage Query=false, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, Data Size=0.66M, Evaluation Setting=Few-Shot (3-shot)2023.0543.1———————————————
GLIP-TLanguage Query=true, Vision Query=false, Backbone=Swin-T, Pre-train Data=O365, GoldG, Cap4M, Data Size=5.5M, Evaluation Setting=Finetuning-free2023.0541.9———————————————
GeM-VG2026.0141.13.425.677.45120.65154.157.512.136.240.644.360.3——
OWL-ViTLanguage Query=true, Vision Query=false, Backbone=ViT L/14(CLIP), Pre-train Data=O365, VG, Data Size=0.8M, Evaluation Setting=Finetuning-free2023.0540.9———————————————
YOLO-Worldv2-LBackbone=YOLOv8-L, Pre-train Data=OG, #Params=48M, Resolution=640x640, Zero-shot=true2026.0138.4———————————————
YOLO-World-LBackbone=YOLOv8-L, Resolution=640*640, #Params=48M, FPS=54.6, Zero-shot=true2025.1238.4———————————————
Qwen2.5-VL-3B2026.0137.26.216.47524.68.366.65242.310.247.736.740.757.1——
Qwen2.5-VL-7Breproduced=true2026.01377.820.373.532.2757.649.848.57.440.142.73856.3——
UniVG-R1reproduced=true2026.0133.30.610.566.51.130.852.544.250.710.940.536.737.251——
Qwen2-VL-7Breproduced=true2026.01324.914.265.811.83.747.544.452.112.140.338.932.248.6——
DINOvBackbone=Swin-L, Pre-training data=COCO, SA-1B, Evaluation Protocol=Zero-shot2024.0527.8———————————————
Ferret-13Breproduced=true2026.0127.104.359.81.56.140.135.241.53.949.529.536.544.4——
MDETRLanguage Query=true, Vision Query=false, Backbone=ENB5, Pre-train Data=GoldG,RefC, Data Size=0.9M, Evaluation Setting=Finetuning-free2023.0525.1———————————————
MDETR2026.0122.20.61.766.55.939.863.65.615.912.750.68.14.513.4——
Migicianreproduced=true2026.0121.90.94.354.52.917.615.128.736.7533.328.92333.6——
InternVL2.5-8Breproduced=true2026.0120.206.938.50.226.716.43729.21.146.628.53.827.1——
CleanLVLM Model=Qwen3-VL-8B, Perturbation budget (ε)=8/255, Iterations (S)=3002026.02——————————————35.50
PA-AttackLVLM Model=Qwen3-VL-8B, Perturbation budget (ε)=8/255, Iterations (S)=S1=100, S2=2002026.02——————————————9.838