no code implementations • 16 Mar 2024 • Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
Researchers propose regularizing techniques, such as Label Smoothing (LS), which introduces soft labels for training data, making the classifier more regularized.
no code implementations • 16 Mar 2024 • Anay Panja, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
The typical Binary cross entropy(BCE) based U-shaped network only concentrates on the entire CT images without emphasizing on the affected regions, which results in hazy borders and low contrast in the projected output.
no code implementations • 5 Feb 2021 • Md Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
Moving outside the visible spectrum range, such as the thermal spectrum or the near-infrared (NIR) images, is much more beneficial in low visibility conditions, NIR images are very helpful for understanding the object's material quality.
no code implementations • 12 Mar 2020 • Somenath Kuiry, Nibaran Das, Alaka Das, Mita Nasipuri
In the literature, many fusion techniques are registered for the segmentation of images, but they primarily focus on observed output or belief score or probability score of the output classes.