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Object Detection on MS COCO 1x (train)

40.5APDySample+
37.17238.03638.939.764Aug 29, 2023

Evaluation results

MethodLinks
DySample+Framework=Faster R-CNN, Backbone=R101, Params=+65.5K2023.0840.561.643.824.244.552.3
NearestFramework=Faster R-CNN, Backbone=R101, Params=65.8M2023.0839.460.143.122.443.751.1
DySample+Framework=Faster R-CNN, Backbone=R50, Params=+65.5K2023.0838.76042.222.542.450.2
CARAFEFramework=Faster R-CNN, Backbone=R50, Params=+0.3M2023.0838.659.942.223.342.249.7
DySample-S+Framework=Faster R-CNN, Backbone=R50, Params=+8.2K2023.0838.659.842.122.542.150
DySampleFramework=Faster R-CNN, Backbone=R50, Params=+32.7K2023.0838.659.94222.942.150.2
FADEFramework=Faster R-CNN, Backbone=R50, Params=+0.2M2023.0838.559.641.823.142.249.3
DySample-SFramework=Faster R-CNN, Backbone=R50, Params=+4.1K2023.0838.559.542.122.741.950.2
SAPA-BFramework=Faster R-CNN, Backbone=R50, Params=+0.1M2023.0837.859.240.622.441.449.1
IndexNetFramework=Faster R-CNN, Backbone=R50, Params=+8.4M2023.0837.658.440.921.541.349.2
NearestFramework=Faster R-CNN, Backbone=R50, Params=46.8M2023.0837.558.240.821.341.148.9
PixelShuffleFramework=Faster R-CNN, Backbone=R50, Params=+9.4M2023.0837.558.540.421.541.548.3
DeconvFramework=Faster R-CNN, Backbone=R50, Params=+2.4M2023.0837.357.840.321.341.148
A2UFramework=Faster R-CNN, Backbone=R50, Params=+38.9K2023.0837.358.74021.741.148.5