10 citations · 10 across the 2 of their papers we have counts for
4 papers
Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image Segmentation
Risab Biswas
This thesis aims to investigate the feasibility of knowledge transfer between neural networks for medical image segmentation tasks, specifically focusing on the transfer from a lar…
A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image Enhancement
Risab Biswas, Swalpa Kumar Roy, Umapada Pal
Document image enhancement is a fundamental and important stage for attaining the best performance in any document analysis assignment because there are many degradation situations…
DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization
Risab Biswas, Swalpa Kumar Roy, Ning Wang +2
In real life, various degradation scenarios exist that might damage document images, making it harder to recognize and analyze them, thus binarization is a fundamental and crucial…
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?
Risab Biswas
Meta recently released SAM (Segment Anything Model) which is a general-purpose segmentation model. SAM has shown promising results in a wide variety of segmentation tasks including…