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Hi, the object classes are inferred by the FasterRCNN directly. I tried to train the custom classifier, hoping it can optimize the object classification. However, the custom classifier doesn't perform as expected. I think the reasons should be the bad quality of region proposals and overlapped object classes (e.g. bottle/cup).
You could remove the custom classifier for sgdet task by yourself :) This does not affect the result
Hi, I want to make sure for "sgdet" task, why is the decoder_lin not used during testing
Does it mean that the object prediction labels from the faserRCNN are used directly in "sgdet"? Then why is decoder_lin trained?
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