Object Detection on COCO (test)
54.7mAPADeT-Net
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ADeT-NetExperimental Setting=12026.02 | 54.7 | — | — | — | — | — | |
| DCMPNetExperimental Setting=12026.02 | 53.1 | — | — | — | — | — | |
| C2PExperimental Setting=12026.02 | 52.3 | — | — | — | — | — | |
| IPCExperimental Setting=12026.02 | 52.3 | — | — | — | — | — | |
| DehazeformerExperimental Setting=12026.02 | 52 | — | — | — | — | — | |
| RIDCPExperimental Setting=12026.02 | 51.7 | — | — | — | — | — | |
| KA-NetExperimental Setting=12026.02 | 50.5 | — | — | — | — | — | |
| DehamerExperimental Setting=12026.02 | 49.8 | — | — | — | — | — | |
| Raw dataEvaluation Protocol=Protocol A2025.12 | 48.7 | — | — | 31.1 | 51.9 | 62.9 | |
| SpineNetTraining-free=false, Search Cost (GPU Days)=100x TPUv3+, Search Part=backbone+FPN, FLOPs=524G, Pretrain/Scratch=Scratch, Epochs=3502021.11 | 48.1 | — | — | — | — | — | |
| MAE-DETTraining-free=true, Search Cost (GPU Days)=0.6, Search Part=backbone, FLOPs=279G, Pretrain/Scratch=Scratch, Epochs=732021.11 | 48 | — | — | — | — | — | |
| SP-NASTraining-free=false, Search Cost (GPU Days)=28, Search Part=backbone, FLOPs=655G, Pretrain/Scratch=Pretrain, Epochs=242021.11 | 47.4 | — | — | — | — | — | |
| Random noiseEvaluation Protocol=Protocol A2025.12 | 47.4 | — | — | 30.9 | 50.6 | 60.6 | |
| CUDAEvaluation Protocol=Protocol A2025.12 | 46.8 | — | — | 29.3 | 50.6 | 61.2 | |
| DetNASTraining-free=false, Search Cost (GPU Days)=68, Search Part=backbone, FLOPs=289G, Pretrain/Scratch=Pretrain, Epochs=242021.11 | 43.4 | — | — | — | — | — | |
| DiffDehazeExperimental Setting=12026.02 | 42.1 | — | — | — | — | — | |
| SCRLDownstream=FRCNN w/ FPN, Backbone=ResNet-50, Pretrain Epochs=10002021.03 | 40.9 | 62.5 | 44.5 | — | — | — | |
| BYOLDownstream=FRCNN w/ FPN, Backbone=ResNet-50, Pretrain Epochs=10002021.03 | 40 | 61.3 | 43.6 | — | — | — | |
| SwAV+Downstream=FRCNN w/ FPN, Backbone=ResNet-50, Pretrain Epochs=8002021.03 | 39.6 | 61.3 | 43.2 | — | — | — | |
| SCRLDownstream=RetinaNet w/ FPN, Backbone=ResNet-50, Pretrain Epochs=10002021.03 | 39 | 58.7 | 41.9 | — | — | — | |
| SynPerEvaluation Protocol=Protocol A2025.12 | 38.9 | — | — | 24.4 | 42.9 | 50.9 | |
| supervised-INDownstream=FRCNN w/ FPN, Backbone=ResNet-502021.03 | 38.5 | 59.8 | 41.5 | — | — | — | |
| SimCLR v2+Downstream=FRCNN w/ FPN, Backbone=ResNet-50, Pretrain Epochs=10002021.03 | 38.1 | 58.9 | 41.3 | — | — | — | |
| BYOLDownstream=RetinaNet w/ FPN, Backbone=ResNet-50, Pretrain Epochs=10002021.03 | 37.7 | 57.7 | 40.3 | — | — | — | |
| supervised-INDownstream=RetinaNet w/ FPN, Backbone=ResNet-502021.03 | 37.5 | 57 | 39.9 | — | — | — | |
| SimCLR v2+Downstream=RetinaNet w/ FPN, Backbone=ResNet-50, Pretrain Epochs=10002021.03 | 37.4 | 56.5 | 40.3 | — | — | — | |
| MoCo v2Downstream=FRCNN w/ FPN, Backbone=ResNet-50, Pretrain Epochs=8002021.03 | 37.1 | 57.2 | 40.2 | — | — | — | |
| MoCo v2Downstream=RetinaNet w/ FPN, Backbone=ResNet-50, Pretrain Epochs=8002021.03 | 37 | 55.8 | 39.5 | — | — | — | |
| SwAVDownstream=RetinaNet w/ FPN, Backbone=ResNet-50, Pretrain Epochs=8002021.03 | 36.7 | 56.3 | 39.3 | — | — | — | |
| randomDownstream=FRCNN w/ FPN, Backbone=ResNet-502021.03 | 29.8 | 48.3 | 31.8 | — | — | — | |
| randomDownstream=RetinaNet w/ FPN, Backbone=ResNet-502021.03 | 24.5 | 39.1 | 26 | — | — | — | |
| MnasNetBackbone=MnasNet, Detection Framework=SSDLite, Latency (ms)=174, Params (M)=4.88, MAdds (B)=0.84, Channel reduction=false2019.05 | 23 | — | — | — | — | — | |
| MobileNetV1Backbone=V1, Detection Framework=SSDLite, Latency (ms)=228, Params (M)=5.1, MAdds (B)=1.3, Channel reduction=false2019.05 | 22.2 | — | — | — | — | — | |
| MobileNetV2Backbone=V2, Detection Framework=SSDLite, Latency (ms)=162, Params (M)=4.3, MAdds (B)=0.80, Channel reduction=false2019.05 | 22.1 | — | — | — | — | — | |
| MobileNetV3-LargeBackbone=V3, Detection Framework=SSDLite, Latency (ms)=137, Params (M)=4.97, MAdds (B)=0.62, Channel reduction=false2019.05 | 22 | — | — | — | — | — | |
| MobileNetV3-LargeBackbone=V3, Detection Framework=SSDLite, Latency (ms)=119, Params (M)=3.22, MAdds (B)=0.51, Channel reduction=true2019.05 | 22 | — | — | — | — | — | |
| MnasNetBackbone=MnasNet 0.5, Detection Framework=SSDLite, Latency (ms)=85, Params (M)=1.68, MAdds (B)=0.29, Channel reduction=false2019.05 | 18.5 | — | — | — | — | — | |
| MobileNetV2Backbone=V2 0.5, Detection Framework=SSDLite, Latency (ms)=79, Params (M)=1.54, MAdds (B)=0.27, Channel reduction=false2019.05 | 16.6 | — | — | — | — | — | |
| MobileNetV3-SmallBackbone=V3-Small, Detection Framework=SSDLite, Latency (ms)=43, Params (M)=1.77, MAdds (B)=0.16, Channel reduction=true2019.05 | 16.1 | — | — | — | — | — | |
| MobileNetV3-SmallBackbone=V3-Small, Detection Framework=SSDLite, Latency (ms)=52, Params (M)=2.49, MAdds (B)=0.21, Channel reduction=false2019.05 | 16 | — | — | — | — | — | |
| MnasNetBackbone=MnasNet 0.35, Detection Framework=SSDLite, Latency (ms)=68, Params (M)=1.02, MAdds (B)=0.18, Channel reduction=false2019.05 | 15.6 | — | — | — | — | — | |
| MobileNetV2Backbone=V2 0.35, Detection Framework=SSDLite, Latency (ms)=66, Params (M)=0.93, MAdds (B)=0.16, Channel reduction=false2019.05 | 13.7 | — | — | — | — | — | |
| UnSegEvaluation Protocol=Protocol A2025.12 | 6.1 | — | — | 9.3 | 5.7 | 2.4 | |
| MCT-UEGEvaluation Protocol=Protocol A2025.12 | 3.9 | — | — | 4.9 | 4.7 | 2.2 |