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Object Detection on LVIS (minival)

71.9APCo-DETR
32.3842.6452.963.16Nov 22, 2022Jun 26, 2023Jan 28, 2024Aug 31, 2024Apr 4, 2025Nov 6, 2025Jun 10, 2026

Evaluation results

MethodLinks
Co-DETRBackbone=ViT-L [7], enc. #params=304M2022.1171.9——————————————
CP-DETR-L*Open Source=N, Prompt Type=Visual-I, Backbone=Swin-L, VLM sup.=CLIP, Data Size=3.3M, Training Data=O365, OpenImages, GoldG, V3Det2026.0471.6——————————————
CP-DETR-LBackbone=Swin-L, Zero-shot=true2024.1265.9——————————————
DINOBackbone=InternImage-G [34], enc. #params=3.0B2022.1165.8——————————————
PET-DINOOpen Source=Y, Prompt Type=Visual-I, Backbone=Swin-L, VLM sup.=-, Data Size=2.5M, Training Data=O365, OpenImages, V3Det2026.0465.8——————————————
APE(D)Backbone=ViT-L, Zero-shot=false2024.1264.7——————————————
APE (D)Backbone=ViT-L [6], Pre-training data=COCO, LVIS, O365, OID, VG, RefC, SA-1B, GoldG, PhraseCut, Evaluation Protocol=Supervised2024.0564.7—62.5————————————
PET-DINOOpen Source=Y, Prompt Type=Visual-I, Backbone=Swin-T, VLM sup.=-, Data Size=2.5M, Training Data=O365, OpenImages, V3Det2026.0464.5——————————————
PET-DINOOpen Source=Y, Prompt Type=Visual-I, Backbone=Swin-L, VLM sup.=-, Data Size=0.6M, Training Data=O3652026.0464.3——————————————
CP-DETR-TOpen Source=N, Prompt Type=Visual-I, Backbone=Swin-T, VLM sup.=CLIP, Data Size=3.3M, Training Data=O365, OpenImages, GoldG, V3Det2026.0464.1——————————————
T-Rex2Open Source=N, Prompt Type=Visual-I, Backbone=Swin-L, VLM sup.=CLIP, Data Size=3.1M, Training Data=O365, OpenImages, HierText, CrowdHuman, SA-1B2026.0462.5——————————————
Co-DETRBackbone=Swin-L [25], enc. #params=218M2022.1162.3——————————————
PET-DINOOpen Source=Y, Prompt Type=Visual-I, Backbone=Swin-T, VLM sup.=-, Data Size=0.6M, Training Data=O3652026.0461.8——————————————
DetCLIPv3+FTBackbone=Swin-L, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Fine-tuning data=LVISbase2024.0460.8—56.763.259.4——————————
GLIPv2Backbone=Swin-H [25], enc. #params=637M2022.1159.8——————————————
GLIPv2-HBackbone=Swin-H, Zero-shot=false2024.1259.8——————————————
T-Rex2Open Source=N, Prompt Type=Visual-I, Backbone=Swin-T, VLM sup.=CLIP, Data Size=3.1M, Training Data=O365, OpenImages, HierText, CrowdHuman, SA-1B2026.0459.3——————————————
CP-DETR-ProSource type=Closed-source, Data scale=1.1M, Zero-shot=true2024.1258.2—60.659.256.8——————————
Grounding DINOv1.6 ProSource type=Closed-source, Data scale=30M, Zero-shot=true2024.1257.7—57.560.555.3——————————
APE (B)Backbone=ViT-L, Pre-training data=COCO, LVIS, O365, OID, VG, Evaluation Protocol=Supervised2024.0557.7—57————————————
Grounding DINOv1.5 ProSource type=Closed-source, Data scale=20M, Zero-shot=true2024.1255.7—56.157.554.1——————————
Grounding DINO 1.5 ProBackbone=ViT-L [6], Pre-training data=Grounding-20M, Evaluation Protocol=Zero-shot2024.0555.7—56.157.554.1——————————
T-Rex2-LBackbone=Swin-L, Zero-shot=true2024.1254.9——————————————
Trex-2-LSource type=Closed-source, Data scale=6.5M, Zero-shot=true2024.1254.9—49.254.856.1——————————
T-Rex2 (text)Backbone=Swin-L, Pre-training data=O365, OID, GoldG, CC3M, SBU, LAION, Evaluation Protocol=Zero-shot2024.0554.9—49.254.856.1——————————
DetCLIPv3+FTBackbone=Swin-T, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Fine-tuning data=LVISbase2024.0454.4—46.756.154.3——————————
OWL-ST+FTBackbone=CLIP L/14, Pre-training data=WebLI2B, Fine-tuning data=LVISbase2024.0454.1—46.1————————————
VL-SAM-v3 + SAM3Base detector / backbone=SAM3 / PE-L+, Candidate generator=Qwen3-VL (8B), Evaluation Protocol=Zero-shot2026.0551.7—54————————————
LLMDetBackbone=Swin-L, Pre-training data=GroundingCap-1M, Zero-shot=true2025.0151.1—45.146.156.6——————————
GLIPv2Backbone=Swin-H, Pre-training data=FiveODs, GoldG, CC15M, SBU, Zero-shot=true2025.0150.1——————————————
GLIPv2Backbone=Swin-H [32], Pre-training data=FourODS, COCO, GoldG, CC15M, SBU, Evaluation Protocol=Supervised2024.0550.1—33.922.230.7——————————
SAM3Base detector / backbone=SAM3 / PE-L+, Candidate generator=Qwen3-VL (8B), Evaluation Protocol=Zero-shot2026.0549.9—52.6————————————
DetCLIPv3-LBackbone=Swin-L, Zero-shot=true2024.1248.8——————————————
DetCLIPv3-LSource type=Closed-source, Data scale=50M, Zero-shot=true2024.1248.8—49.949.747.8——————————
DetCLIPv3Backbone=Swin-L, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Zero-shot=true2025.0148.8—49.949.747.8——————————
DetCLIPv3Backbone=Swin-L, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Evaluation Protocol=Zero-shot2024.0548.8—49.949.747.8——————————
LLMDetBackbone=Swin-B, Pre-training data=GroundingCap-1M, Zero-shot=true2025.0148.3—40.843.154.3——————————
CP-DETR-TBackbone=Swin-T, Zero-shot=true2024.1247.6——————————————
T-Rex2 (visual)Backbone=Swin-L, Pre-training data=O365, OID, HierText, CrowdHuman, SA-1B, Evaluation Protocol=Zero-shot2024.0547.6—45.44649.5——————————
OWL-ST+FTBackbone=CLIP B/16, Pre-training data=WebLI2B, Fine-tuning data=LVISbase2024.0447.2—37.8————————————
DetCLIPv3-TBackbone=Swin-T, Zero-shot=true2024.1247——————————————
DetCLIPv3Backbone=Swin-T, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Zero-shot=true2025.0147—45.147.746.7——————————
DetCLIPv3Backbone=Swin-L, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Fine-tuning data=None (Zero-shot)2024.0445.8—46.945.945.5——————————
VL-SAM-v3Base detector / backbone=LLMDet / Swin-L, Candidate generator=Qwen3-VL (8B), Evaluation Protocol=Zero-shot2026.0544.8—41.9————————————
DetCLIPv2-LBackbone=Swin-L, Zero-shot=true2024.1244.7——————————————
LLMDetBackbone=Swin-T, Pre-training data=GroundingCap-1M, Zero-shot=true2025.0144.7—37.339.550.7——————————
DetCLIPv2Backbone=Swin-L, Pre-training data=O365, GoldG, CC15M, Zero-shot=true2025.0144.7—43.146.343.7——————————
MM-GDINOBackbone=Swin-B, Pre-training data=O365, GoldG, V3Det, Zero-shot=true2025.0144.5—37.539.949.9——————————
DetCLIPv3Backbone=Swin-T, Pre-training data=O365, V3Det, GoldG, GranuCap50M, Fine-tuning data=None (Zero-shot)2024.0443.7—39.344.543.7——————————
Current SOTA in each itemSource type=Open-source, Data scale=N/A, Zero-shot=true2024.1243.4—34.541.246.9——————————
DetCLIPv2Backbone=Swin-L, Pre-training data=O365, GoldG, CC15M, Evaluation Protocol=Zero-shot2024.0543.1—46.343.7———————————
T-Rex2-TBackbone=Swin-T, Zero-shot=true2024.1242.8——————————————
T-Rex2Backbone=Swin-T, Pre-training data=10M data from various resources, Zero-shot=true2025.0142.8—37.439.746.5——————————
VL-SAM-v3Base detector / backbone=LLMDet / Swin-L, Candidate generator=InternVL-2.5 (8B), Evaluation Protocol=Zero-shot2026.0541.7—38.7————————————
OWL-STBackbone=CLIP L/14 [23], Pre-training data=WebLI2B, Evaluation Protocol=Zero-shot2024.0541.5——————————————
MM-G-T(c3)Backbone=Swin-T, Lr schd=zero-shot2024.0141.4—34.237.446.2——————————
MM-GDINOBackbone=Swin-T, Pre-training data=O365, GoldG, GRIT, V3Det, Zero-shot=true2025.0141.4—34.237.446.2——————————
VL-SAM-v3Base detector / backbone=LLMDet / Swin-T, Candidate generator=Qwen3-VL (8B), Evaluation Protocol=Zero-shot2026.0541.4—39.4————————————
OWL-STBackbone=CLIP L/14, Zero-shot=true2024.1240.9——————————————
OWL-STBackbone=CLIP L/14, Pre-training data=WebLI2B, Zero-shot=true2025.0140.9—41.5————————————
VL-SAM-v3Base detector / backbone=LLMDet / Swin-T, Candidate generator=InternVL-2.5 (8B), Evaluation Protocol=Zero-shot2026.0540.6—37.9————————————
MM-G-T(c2)Backbone=Swin-T, Lr schd=zero-shot2024.0140.5—3335.645.9——————————
MM-Grounding-DINOPrompt Type=Text, Backbone=Swin-T, Training Data=O365, GoldG, V3Det, Zero-shot=true2026.0440.5——————————————
DetCLIPv2Backbone=Swin-T, Pre-training data=O365, GoldG, CC15M, Zero-shot=true2025.0140.4—3641.740.4——————————
OV-DINOBackbone=Swin-T, Pre-training data=O365, GoldG, CC1M, Zero-shot=true2025.0140.1—34.539.541.5——————————
PET-DINOPrompt Type=Text, Backbone=Swin-L, Training Data=O365†, Zero-shot=true2026.0439.3——————————————
DetCLIPBackbone=Swin-L, Pre-training data=O365, GoldG, YFCC1M, Zero-shot=true2025.0138.6—3638.339.3——————————
OWL-STBackbone=CLIP L/14, Pre-training data=WebLI2B, Fine-tuning data=None (Zero-shot)2024.0438.1—39————————————
VL-DINO-LBackbone=Swin-L, Training Data=OG, Zero-shot=true2026.0638.1—39.238.137.7——————40.241.840.940.1
PET-DINOPrompt Type=Text, Backbone=Swin-T, Training Data=O365†, Zero-shot=true2026.0437.8——————————————
GLIPBackbone=Swin-L, Pre-training data=FourODs, GoldG, Cap24M, Zero-shot=true2025.0137.3—28.234.341.5——————————
GLIP-LTraining Data=FourODs, GoldG, Cap24M2023.1137.3—28.2————————————
GLIPBackbone=Swin-L, Pre-training data=FourODs, GoldG, Cap24M, Evaluation Protocol=Zero-shot2024.0537.3—28.234.341.5——————————
ExpAlignBackbone=ConvNeXt-T, Pre-train Data=OG, #Params=60M, Resolution=640x640, Zero-shot=true2026.0137.2—35.837.237.6——————————
ExpAlignBackbone=ConvNeXt-T, Pre-train Data=OG, RefC, #Params=60M, Resolution=640x640, Zero-shot=true2026.0137.1—36.237.137.4——————————
RegionSpot-Pro↑336Training Data=O365, OI, V3DET, Input Resolution=3362023.1136.9—33.2————————————
MM-GDINOBackbone=Swin-L, Pre-training data=O365V2, OpenImageV6, GoldG, Zero-shot=true2025.0136.8—28.131.842.8——————————
MM-Grounding-DINOPrompt Type=Text, Backbone=Swin-L, Training Data=O365V2, OpenImage, GoldG, Zero-shot=true2026.0436.7——————————————
MM-G-T(c1)Backbone=Swin-T, Lr schd=zero-shot2024.0136.5—26.632.441.8——————————
VL-DINO-TBackbone=Swin-T, Training Data=OG, Zero-shot=true2026.0636.3—37.835.636.7——————38.740.637.939
Grounding DINO 1.5 EdgeBackbone=Efficient ViT-L1, Pre-training data=Grounding-20M, test size=800x1333, Zero-shot=true, Language Cache=false2024.0536.2—33.236.6—36.318.575.25.5——————
DetCLIPBackbone=Swin-L, Pre-training data=O365, GoldG, YFCC1M, Evaluation Protocol=Zero-shot2024.0536—38.339.3———————————
DetCLIPBackbone=Swin-T, Pre-training data=O365, GoldG, YFCC1M, Zero-shot=true2025.0135.9—33.235.736.4——————————
YOLOE-8-LBackbone=YOLOv8-L, Pre-train Data=OG, #Params=45M, Resolution=640x640, Zero-shot=true2026.0135.9—33.234.837.3——————————
MM-G-T(b)Backbone=Swin-T, Lr schd=zero-shot2024.0135.7—28.130.242——————————
YOLO-World-LBackbone=YOLOv8-L, Zero-shot=true2024.1235.4——————————————
YOLO-World-LBackbone=YOLOv8-L, Pre-training data=O365, GoldG, CC3M, Zero-shot=true2025.0135.4—27.634.138——————————
YOLO-Worldv2-LBackbone=YOLOv8-L, Pre-train Data=OG, #Params=48M, Resolution=640x640, Zero-shot=true2026.0135.4—27.634.138——————————
YOLO-World-LBackbone=YOLOv8-L, Params(M)=110, Evaluation Setting=Zero-shot2026.0135—27.132.838.3——————————
OmDet-Turbo-BBackbone=ConvNeXt-B, Zero-shot=true2024.1234.7——————————————
OmDet-Turbo-BBackbone=ConvNeXt-B, Pre-train Data=OG, #Params=175M, Resolution=640x640, Zero-shot=true2026.0134.7——————————————
OmDet-Turbo-BBackbone=ConvNeXt-B [20], Pre-training data=O365, GoldG, PhraseCut, Hake, HOI-A, Evaluation Protocol=Zero-shot2024.0534.7——————————————
Desco-GLIPBackbone=Swin-T, Pre-training data=O365, GoldG, CC3M, Zero-shot=true2025.0134.6—30.830.539——————————
OWL-ViTBackbone=ViT-L [5], Pre-training data=O365, OID, VG, LIT, Evaluation Protocol=Zero-shot2024.0534.6—31.2————————————
MQ-GLIPBackbone=Swin-L, Pre-training data=O365, Evaluation Protocol=Zero-shot2024.0534.5—41.246.9———————————
OWL-STBackbone=CLIP B/16, Pre-training data=WebLI2B, Zero-shot=true2025.0134.4—38.3————————————
DetCLIPBackbone=Swin-T, Pre-train Data=OG, Resolution=800x1333, Zero-shot=true2026.0134.4—26.933.936.3——————————
DetCLIP-TBackbone=Swin-T, Params(M)=155, Evaluation Setting=Zero-shot2026.0134.4—26.933.936.3——————————
X-DETRTraining Data=LVIS, GoldG+, CC, LocNar, Backbone=RN101, Detector=Def.DETR [63]2023.0834—24.734.635.1——————————
Grounding-DINO-LBackbone=Swin-L, Zero-shot=true2024.1233.9——————————————