3 papers
cs.CV2022
Rethinking gradient weights' influence over saliency map estimation
Masud An Nur Islam Fahim, Nazmus Saqib, Shafkat Khan Siam +1
Class activation map (CAM) helps to formulate saliency maps that aid in interpreting the deep neural network's prediction. Gradient-based methods are generally faster than other br…
cs.CV2022
Denoising single images by feature ensemble revisited
Masud An Nur Islam Fahim, Nazmus Saqib, Shafkat Khan Siam +1
Image denoising is still a challenging issue in many computer vision sub-domains. Recent studies show that significant improvements are made possible in a supervised setting. Howev…
cs.CV2022
Semi-supervised atmospheric component learning in low-light image problem
Masud An Nur Islam Fahim, Nazmus Saqib, Jung Ho Yub
Ambient lighting conditions play a crucial role in determining the perceptual quality of images from photographic devices. In general, inadequate transmission light and undesired a…