I've set the large_feature_map = True, which means the final feature map used to generate CAMs is 28x28 (image input size is 224x224, rather than 229x229). Also, I've set the LR of SPG_A3_1b, SPG_A3_2b and SPG_A4 10 times higher than the rest blocks (Conv2d_4a_3x3, Conv2d_1a_3x3, Conv2d_2a_3x3, Conv2d_2b_3x3, Conv2d_3b_1x1, Mixed_5b, Mixed_5c, Mixed_5d, Mixed_6a, Mixed_6b, Mixed_6c, Mixed_6d and Mixed_6e), whose learning rate is 0.00224844746. The WD is 5e-4, momentum is 0.9 and nesterov is True for the SGD optimizer.
The LR decay frequency is 15 epoch and I use StepLR scheduler with gamma = 0.1.
The boxaccv2 is around 53%, more specifically, 0.92, 0.56, 0.1 for iou=0.3, 0.5 and 0.7, respectively.
Could you please tell me if I miss something? Or does someone has a similar issue?
Hi,
I've set the large_feature_map = True, which means the final feature map used to generate CAMs is 28x28 (image input size is 224x224, rather than 229x229). Also, I've set the LR of SPG_A3_1b, SPG_A3_2b and SPG_A4 10 times higher than the rest blocks (Conv2d_4a_3x3, Conv2d_1a_3x3, Conv2d_2a_3x3, Conv2d_2b_3x3, Conv2d_3b_1x1, Mixed_5b, Mixed_5c, Mixed_5d, Mixed_6a, Mixed_6b, Mixed_6c, Mixed_6d and Mixed_6e), whose learning rate is 0.00224844746. The WD is 5e-4, momentum is 0.9 and nesterov is True for the SGD optimizer. The LR decay frequency is 15 epoch and I use StepLR scheduler with gamma = 0.1.
The boxaccv2 is around 53%, more specifically, 0.92, 0.56, 0.1 for iou=0.3, 0.5 and 0.7, respectively.
Could you please tell me if I miss something? Or does someone has a similar issue?