Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image Segmentation

no code implementations • 5 Jun 2024 • Risab Biswas

In the context of medical imaging, where the data volumes are often limited, leveraging knowledge from a larger pre-trained network could be useful.

DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization

no code implementations • 6 Dec 2023 • Risab Biswas, Swalpa Kumar Roy, Ning Wang, Umapada Pal, Guang-Bin Huang

Instead of using a simple vision transformer block to extract information from the image patches, the proposed architecture uses two transformer blocks for greater coverage of the extracted feature space on a global and local scale.

Binarization Decoder

A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image Enhancement

1 code implementation • 6 Dec 2023 • Risab Biswas, Swalpa Kumar Roy, Umapada Pal

Instead of using a simple ViT and hard splitting of images for the document image enhancement task, we employed a progressive tokenization technique to capture this local information from an image to achieve more effective results.

Binarization Decoder +1

Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

2 code implementations • 12 Aug 2023 • Risab Biswas

In the field of medical image segmentation, polyp segmentation holds a position of high importance, thus creating a model which is robust and precise is quite challenging.

Image Segmentation Segmentation +2

Effective Document Image Enhancement Using tokens-to-token Transformer Network

1 code implementation • Preprint 2023 • Risab Biswas, Swalpa Kumar Roy, Umapada Pal

Instead of using a simple ViT and hard splitting of images for the document image enhancement task, we employed a progressive tokeniza-tion technique to capture this local information from an image for achieving more effective results.

Binarization Image Enhancement