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Would you offer some details about iOD on the COCO dataset? it seems that iOD performed not very well on COCO dataset. I wonder whether I have to adjust some hyper-parameters(for example, steps, iterations and so on) for better performance?
The text was updated successfully, but these errors were encountered:
Actually, when I only train the first 40 base classes using the configs in the file "warp_faster_rcnn_R_50_C4_1x.yaml", the AP50 was about 30%. I think it is not reasonable.
Would you offer some details about iOD on the COCO dataset? it seems that iOD performed not very well on COCO dataset. I wonder whether I have to adjust some hyper-parameters(for example, steps, iterations and so on) for better performance?
The text was updated successfully, but these errors were encountered: