no code implementations • 23 Aug 2023 • Sota Kato, Kazuhiro Hotta, Yuhki Hatakeyama, Yoshinori Konishi
Lite-HRNet Plus achieves two improvements: a novel fusion block based on a channel attention and a novel output module with less computational intensity using multi-resolution feature maps.
no code implementations • 6 Oct 2020 • Yuhki Hatakeyama, Hiroki Sakuma, Yoshinori Konishi, Kohei Suenaga
Several techniques have been proposed to address this problem; one of which is RISE, which explains a classification result by a heatmap, called a saliency map, which explains the significance of each pixel.