Abstract: This paper presents a supervised contrastive learning (SCL) framework for respiratory sound classification and the hardware implementation of learned ResNet on field programmable gate array ...
Abstract: High-resolution remote sensing images contain intricate details and complex backgrounds, presenting challenges for traditional segmentation methods, which often struggle with accurate ...
The former code accepted only caffe pretrained models, so the normalization of images are changed to use pytorch models. Try the forked repo first and if you want to train with pytorch models, you can ...