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Open-Vocabulary Object Detection on LVIS

42.1APrLLMDet + FG-CLIP 2
15.26822.23429.236.166Mar 23, 2023Aug 25, 2023Jan 28, 2024Jul 2, 2024Dec 5, 2024May 10, 2025Oct 13, 2025

Evaluation results

MethodLinks
LLMDet + FG-CLIP 2Backbone=Swin-T + ViT-So/162025.1042.145.9———44.649
LLMDet + Meta CLIP 2Backbone=Swin-T + ViT-H/142025.1041.744.5———42.947.6
LLMDet + SigLIP 2Backbone=Swin-T + ViT-So/162025.1041.144.3———42.746.4
LLMDet + FG-CLIP 2Backbone=Swin-T + ViT-L/162025.104145.5———44.249
LLMDet + SigLIP 2Backbone=Swin-T + ViT-L/162025.1040.443.6———4245.9
LLMDet + FG-CLIP 2Backbone=Swin-T + ViT-B/162025.1037.444———42.848.2
DetCLIP v3Backbone=Swin-T2025.1037.238.9———37.541.2
LLMDet + FG-CLIPBackbone=Swin-T + ViT-L/142025.103743.1———41.347.7
OWL-STBackbone=ViT-L/142025.1036.235.2—————
LLMDet + SigLIP 2Backbone=Swin-T + ViT-B/162025.1036.141.8———39.945.2
LLMDet + FG-CLIPBackbone=Swin-T + ViT-B/162025.1035.141———38.945.8
LLMDetBackbone=Swin-L2025.1031.642———38.850.2
OWL-STBackbone=ViT-B/162025.1030.328.6—————
OV-DINOBackbone=Swin-T2025.1029.132.9———30.437.4
T-Rex2Backbone=Swin-T2025.102934.8———31.541.2
CORA+Extra Dataset=IN-21k, Pre-train Model=CLIP (text encoder)2023.0328.1——————
DeticExtra Dataset=IN-21k, Pre-train Model=CLIP (text encoder)2023.0326.2——————
LLMDetBackbone=Swin-T2025.102634.9———30.144.3
YOLO-World-LBackbone=YOLOv8-L2025.1022.928.7———24.935.4
MEDetExtra Dataset=CC3M, Pre-train Model=CLIP (ViT-B/32)2023.0322.4——————
CORAPre-train Model=CLIP (RN50x4)2023.0322.2——————
RegionCLIPExtra Dataset=CC3M, Pre-train Model=CLIP (RN50x4)2023.0322——————
MM-GDINOBackbone=Swin-L2025.1019.729.1———25.637.2
OV-DETRPre-train Model=CLIP (ViT-B/32)2023.0317.4——————
GLIPBackbone=Swin-L2025.1017.126.9———23.336.4
ViLDPre-train Model=CLIP (ViT-B/32)2023.0316.3——————
BOUNDdepth=32025.10—1238.826.879.5——
BOUNDdepth=52025.10—1238.726.338.1——
PROB2025.10—2.911.530.1———