Abstract: Long-tailed image classification faces challenges of data imbalance and poor feature representation for tail classes, leading to biased predictions favoring head classes. While most existing ...
Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...
Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
The trace images in https://docs.pytorch.org/tutorials/intermediate/pinmem_nonblock.html are not quite readable because they are massively scaled down. Is it possible ...
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