WXinlong / DenseCL

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
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Evaluation setting on Semantic segmentation #18

Closed wcy1122 closed 3 years ago

wcy1122 commented 3 years ago

Thanks for your outstanding work. Here is a question about the evaluation setting on Semantic segmentation Dis you used "two extra 3×3 convolutions of 256 channels, with BN and ReLU, and then a 1×1 convolution for perpixel classification. The total stride is 16 (FCN-16s [43]). We set dilation = 6 in the two extra 3×3 convolutions, following the large field-of-view design in [6]" this setting during the evaluation of Semantic segmentation (the same as mMoCo), or just used a classic FCN?

zzzzzz0407 commented 3 years ago

@wcy1122 please check it here. https://github.com/WXinlong/mmsegmentation/blob/master/configs/densecl/fcn_r50-d8.py

lcysonya commented 2 years ago

@wcy1122 Did you get the reported results on VOC semantic segmentation?