Instance Segmentation on LVIS (val)
34.4APrOVMR
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OVMRDetector Backbone=Swin-B(88M), Extra Data=true2024.06 | 34.4 | — | — | — | — | — | 40.9 | — | — | — | — | — | — | |
| DeticDetector Backbone=Swin-B(88M), Extra Data=true2024.06 | 33.8 | — | — | — | — | — | 40.7 | — | — | — | — | — | — | |
| OVMRTDetector Backbone=Swin-B(88M), Extra Data=true, Classifier=pure text-based2024.06 | 33.3 | — | — | — | — | — | 40.8 | — | — | — | — | — | — | |
| DITODetector Backbone=ViT-B/16(86M), Extra Data=true2024.06 | 32.5 | — | — | — | — | — | 34 | — | — | — | — | — | — | |
| RO-VITDetector Backbone=ViT-L/16(303M), Extra Data=true2024.06 | 32.1 | — | — | — | — | — | 34 | — | — | — | — | — | — | |
| ExpAlignEvaluation Protocol=Zero-shot, Training Data=OG + RefC2026.01 | 29.7 | 29.8 | — | — | 30.8 | 28.9 | — | — | — | — | — | — | — | |
| CoDetDetector Backbone=Swin-B(88M), Extra Data=true2024.06 | 29.4 | — | — | — | — | — | 39.2 | — | — | — | — | — | — | |
| ExpAlignEvaluation Protocol=Zero-shot, Training Data=OG2026.01 | 29 | 29.9 | — | — | 30.9 | 29.1 | — | — | — | — | — | — | — | |
| CFM-VITDetector Backbone=ViT-B/16(86M), Extra Data=true2024.06 | 28.8 | — | — | — | — | — | 32 | — | — | — | — | — | — | |
| DiffusionInstBackbone=Swin-B, Schedule=3x, Steps=one-step2022.12 | 28.7 | 36 | — | — | 35.7 | 39.5 | — | — | — | — | — | — | — | |
| CORADetector Backbone=RN50x4(87M), Extra Data=true, Evaluation Protocol=reporting box AP2024.06 | 28.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RO-VITDetector Backbone=ViT-B/16(86M), Extra Data=true2024.06 | 28 | — | — | — | — | — | 30.2 | — | — | — | — | — | — | |
| F-VLMDetector Backbone=RN50x4(87M), Extra Data=false2024.06 | 26.3 | — | — | — | — | — | 28.5 | — | — | — | — | — | — | |
| OWL-VITDetector Backbone=ViT-L/14(303M), Extra Data=true, Evaluation Protocol=reporting box AP2024.06 | 25.6 | — | — | — | — | — | 34.7 | — | — | — | — | — | — | |
| POMP2023.04 | 25.2 | — | — | — | 33 | 35.6 | 32.7 | — | — | — | — | — | — | |
| Detic2023.04 | 24.9 | — | — | — | 32.5 | 35.6 | 32.4 | — | — | — | — | — | — | |
| CondHeadDetector Backbone=RN50x4(87M), Extra Data=false2024.06 | 24.4 | — | — | — | — | — | 32 | — | — | — | — | — | — | |
| RegionCLIPDetector Backbone=RN50x4(87M), Extra Data=true2024.06 | 22 | — | — | — | — | — | 32.3 | — | — | — | — | — | — | |
| YOLOE-v8-LEvaluation Protocol=Zero-shot2026.01 | 21.9 | 23.5 | — | — | 21.6 | 26.4 | — | — | — | — | — | — | — | |
| PromptDet2023.04 | 21.4 | — | — | — | 23.3 | 29.3 | 25.3 | — | — | — | — | — | — | |
| OVMRDetector Backbone=RN50, Extra Data=false2024.06 | 21.2 | — | — | — | — | — | 30 | — | — | — | — | — | — | |
| Mask RCNN + EQLv2Backbone=ResNet-1012022.12 | 20.6 | 27.2 | — | — | 25.9 | 31.4 | — | — | — | — | — | — | — | |
| DetPro2023.04 | 19.8 | — | — | — | 25.6 | 28.9 | 25.9 | — | — | — | — | — | — | |
| DetProDetector Backbone=RN50, Extra Data=false2024.06 | 19.8 | — | — | — | — | — | 25.9 | — | — | — | — | — | — | |
| DiffusionInstBackbone=ResNet-101, Schedule=3x, Steps=one-step2022.12 | 19.7 | 27 | — | — | 25.9 | 31.5 | — | — | — | — | — | — | — | |
| MM-OVOD_TDetector Backbone=RN50, Extra Data=false2024.06 | 19.3 | — | — | — | — | — | 30.3 | — | — | — | — | — | — | |
| MM-OVODDetector Backbone=RN50, Extra Data=false2024.06 | 19.3 | — | — | — | — | — | 30.6 | — | — | — | — | — | — | |
| YOLOE-11-LEvaluation Protocol=Zero-shot2026.01 | 19.3 | 22.6 | — | — | 20.9 | 26 | — | — | — | — | — | — | — | |
| BARONDetector Backbone=RN50, Extra Data=false2024.06 | 19.2 | — | — | — | — | — | 26.5 | — | — | — | — | — | — | |
| PromptDetDetector Backbone=RN50, Extra Data=false2024.06 | 19 | — | — | — | — | — | 21.4 | — | — | — | — | — | — | |
| OVMRTDetector Backbone=RN50, Extra Data=false, Classifier=pure text-based2024.06 | 19 | — | — | — | — | — | 29.6 | — | — | — | — | — | — | |
| F-VLMDetector Backbone=RN50, Extra Data=false2024.06 | 18.6 | — | — | — | — | — | 24.2 | — | — | — | — | — | — | |
| DeticDetector Backbone=RN50, Extra Data=false2024.06 | 17.8 | — | — | — | — | — | 26.8 | — | — | — | — | — | — | |
| Mask RCNN + EQLv2Backbone=ResNet-502022.12 | 17.7 | 25.5 | — | — | 24.3 | 30.2 | — | — | — | — | — | — | — | |
| Mask RCNN + RFSBackbone=ResNet-1012022.12 | 17.5 | 25.7 | — | — | 24.6 | 30.6 | — | — | — | — | — | — | — | |
| OV-DETRDetector Backbone=RN50, Extra Data=false2024.06 | 17.4 | — | — | — | — | — | 26.6 | — | — | — | — | — | — | |
| YOLO-Worldv2-LEvaluation Protocol=Fine-tuned on LVIS-Base2026.01 | 17.2 | 19.8 | — | — | 17.5 | 23.6 | — | — | — | — | — | — | — | |
| ViLD2023.04 | 16.6 | — | — | — | 24.6 | 30.3 | 25.5 | — | — | — | — | — | — | |
| ViLD-EnsDetector Backbone=RN50, Extra Data=false2024.06 | 16.6 | — | — | — | — | — | 25.5 | — | — | — | — | — | — | |
| DiffusionInstBackbone=ResNet-50, Schedule=3x, Steps=one-step2022.12 | 13.9 | 22.3 | — | — | 20.7 | 27 | — | — | — | — | — | — | — | |
| DynaMaskBackbone=R50-FPN2023.03 | 13.9 | — | — | 25.7 | 24.4 | 32 | — | — | — | — | — | — | — | |
| Mask RCNN + RFSBackbone=ResNet-502022.12 | 11.5 | 22.2 | — | — | 21.2 | 28 | — | — | — | — | — | — | — | |
| Mask R-CNNBackbone=R50-FPN2023.03 | 10.1 | — | — | 22.1 | 21.7 | 31.7 | — | — | — | — | — | — | — | |
| Mask RCNN + EQLBackbone=ResNet-502022.12 | 2.1 | 18.6 | — | — | 17.4 | 27.2 | — | — | — | — | — | — | — | |
| Mask RCNNBackbone=ResNet-1012022.12 | 1.6 | 21.7 | — | — | 20.7 | 31.7 | — | — | — | — | — | — | — | |
| Mask RCNNBackbone=ResNet-502022.12 | 0 | 16.1 | — | — | 12 | 27.4 | — | — | — | — | — | — | — | |
| APEBackbone=ViT-L, Size=15362023.12 | — | 55.3 | — | 60.9 | — | — | — | — | — | — | — | — | — | |
| CLIP BaselineProtocol=Cross-Dataset2022.08 | — | — | — | — | — | — | 4.989 | 7.244 | 5.227 | — | — | — | — | |
| cRT (ResNeXt-101-32x8d)Backbone=ResNeXt-101-32x8d, Test-time augmentation=false2022.04 | — | 27.2 | — | — | — | — | — | — | — | — | — | — | — | |
| DeticDistill=false2022.06 | — | 30.9 | 21 | — | — | — | — | — | — | — | — | — | — | |
| DetProDistill=true2022.06 | — | 25.9 | 19.8 | — | — | — | — | — | — | — | — | — | — | |
| Eff-B7 NAS-FPN (1280)Backbone=EfficientNet-B7, Resolution=1280, Architecture=NAS-FPN, Test-time augmentation=false2022.04 | — | 34.7 | — | — | — | — | — | — | — | — | — | — | — | |
| Eff-B7 NAS-FPN (1280) with Copy-PasteBackbone=EfficientNet-B7, Resolution=1280, Architecture=NAS-FPN, Data Augmentation=Copy-Paste, Test-time augmentation=false2022.04 | — | 38.1 | — | — | — | — | — | — | — | — | — | — | — | |
| Eff-B7 NAS-FPN (1280) with Copy-Paste and frozen backboneBackbone=EfficientNet-B7, Resolution=1280, Architecture=NAS-FPN, Data Augmentation=Copy-Paste, Backbone freezing=true, Test-time augmentation=false2022.04 | — | 39.9 | — | — | — | — | — | — | — | — | — | — | — | |
| Eff-B7 NAS-FPN (1280) with frozen backboneBackbone=EfficientNet-B7, Resolution=1280, Architecture=NAS-FPN, Backbone freezing=true, Test-time augmentation=false2022.04 | — | 37.2 | — | — | — | — | — | — | — | — | — | — | — | |
| EVA-02Backbone=ViT-L, Size=15362023.12 | — | 53.5 | — | 60.1 | — | — | — | — | — | — | — | — | — | |
| Gemini 2.5 Flash2026.04 | — | 45.5 | — | — | — | — | — | — | — | — | — | — | — | |
| LVIS Challenge 2020 WinnerTest-time augmentation=false2022.04 | — | 38.8 | — | — | — | — | — | — | — | — | — | — | — | |
| M3I Pre-trainingPre-train Dataset=ImageNet, Pre-train Type=M3I, Backbone=ViT-B/16, Fine-tuning schedule=100 epochs2022.11 | — | 38.2 | — | 40.6 | — | — | — | — | — | — | — | — | — | |
| M3I Pre-trainingPre-train Dataset=YFCC-15M, Pre-train Type=M3I, Backbone=ViT-B/16, Fine-tuning schedule=100 epochs2022.11 | — | 38.4 | — | 40.8 | — | — | — | — | — | — | — | — | — | |
| MAEPre-train Dataset=ImageNet, Pre-train Type=Self-supervised (SSP intra-view), Backbone=ViT-B/16, Fine-tuning schedule=100 epochs2022.11 | — | 38.1 | — | 40.1 | — | — | — | — | — | — | — | — | — | |
| Mask RCNNBackbone=Swin-T2022.12 | — | 28.6 | — | — | — | — | — | — | — | — | — | — | — | |
| MaskCLIPProtocol=Cross-Dataset2022.08 | — | — | — | — | — | — | 8.404 | 12.19 | 8.81 | — | — | — | — | |
| MaskCLIP (MaskRCNN)Protocol=Cross-Dataset, Mask Proposal Network=MaskRCNN2022.08 | — | — | — | — | — | — | 6.431 | 12.753 | 5.777 | — | — | — | — | |
| MaskCLIP w/o RMAProtocol=Cross-Dataset, RMA=false2022.08 | — | — | — | — | — | — | 5.762 | 8.202 | 6.169 | — | — | — | — | |
| MEDetDistill=false2022.06 | — | 34.4 | 22.4 | — | — | — | — | — | — | — | — | — | — | |
| Moondream Seg.2026.04 | — | 62.6 | — | — | — | — | — | — | — | — | — | — | — | |
| OpenSeeDEvaluation Protocol=Zero-shot2026.01 | — | 21 | — | — | — | — | — | — | — | — | — | — | — | |
| RegionCLIPDistill=true2022.06 | — | 28.2 | 17.1 | — | — | — | — | — | — | — | — | — | — | |
| SAM 3prompt_type=text2026.04 | — | 62.6 | — | — | — | — | — | — | — | — | — | — | — | |
| SAM 3 Agent (Gemini 2.5 Pro)Base LLM=Gemini 2.5 Pro2026.04 | — | 59.3 | — | — | — | — | — | — | — | — | — | — | — | |
| SiameseIMPre-train Dataset=ImageNet, Pre-train Type=Self-supervised (SSP inter-view), Backbone=ViT-B/16, Fine-tuning schedule=100 epochs2022.11 | — | 38.1 | — | 40.5 | — | — | — | — | — | — | — | — | — | |
| SupervisedPre-train Dataset=ImageNet, Pre-train Type=Supervised (SP), Backbone=ViT-B/16, Fine-tuning schedule=100 epochs2022.11 | — | — | — | 37.2 | — | — | — | — | — | — | — | — | — | |
| ViLDDistill=true2022.06 | — | 25.2 | 16.8 | — | — | — | — | — | — | — | — | — | — | |
| ViTDetBackbone=ViT-H, Size=10242023.12 | — | 48.1 | — | 53.4 | — | — | — | — | — | — | — | — | — | |
| WSDDNDistill=false2022.06 | — | 30 | 16.5 | — | — | — | — | — | — | — | — | — | — | |
| YOLOE-11lPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 22.6 | 19.3 | 20.9 | 26 | |
| YOLOE-11lPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 22.5 | 20.5 | 21.7 | 24.1 | |
| YOLOE-11mPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 21.1 | 17.2 | 19.6 | 24.4 | |
| YOLOE-11mPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 21 | 18.3 | 20.6 | 22.6 | |
| YOLOE-11sPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 17.6 | 16.1 | 15.6 | 20.5 | |
| YOLOE-11sPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 17.1 | 14.4 | 16.8 | 18.6 | |
| YOLOE-26lPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 24.8 | 21.9 | 23.3 | 27.8 | |
| YOLOE-26lPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 24.3 | 21.9 | 23.6 | 26.1 | |
| YOLOE-26mPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 23.8 | 24.2 | 25.6 | 29.4 | |
| YOLOE-26mPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 22.9 | 23.3 | 26.6 | 28.4 | |
| YOLOE-26nPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 15.1 | 11.9 | 13.9 | 17.9 | |
| YOLOE-26nPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 13.9 | 11 | 13.4 | 15.6 | |
| YOLOE-26sPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 20.5 | 18.4 | 18.6 | 23.4 | |
| YOLOE-26sPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 19.1 | 16.1 | 18.2 | 21.4 | |
| YOLOE-26xPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 27.4 | 24.9 | 26.2 | 29.8 | |
| YOLOE-26xPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 26.7 | 23.3 | 26.6 | 28.4 | |
| YOLOE-v8lPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 23.5 | 21.9 | 21.6 | 26.4 | |
| YOLOE-v8lPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 22 | 16.5 | 22.1 | 24.3 | |
| YOLOE-v8mPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 20.8 | 17.2 | 19.2 | 24.2 | |
| YOLOE-v8mPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 20.3 | 17 | 20.1 | 22 | |
| YOLOE-v8sPrompt=Text, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 17.7 | 15.5 | 16.3 | 20.3 | |
| YOLOE-v8sPrompt=Visual, Evaluation Mode=Zero-shot2026.06 | — | — | — | — | — | — | — | — | — | 16.8 | 13.5 | 16.7 | 18.2 | |
| YOLOWorld-LPrompt=Text, Evaluation Mode=Fine-tuned on LVIS-Base2026.06 | — | — | — | — | — | — | — | — | — | 19.1 | 14.2 | 17.2 | 23.5 | |
| YOLOWorld-MPrompt=Text, Evaluation Mode=Fine-tuned on LVIS-Base2026.06 | — | — | — | — | — | — | — | — | — | 16.7 | 12.6 | 14.6 | 20.8 |