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pro vyhledávání: '"Biswas, Risab"'
Autor:
Biswas, Risab
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 larger multi-task "Teacher" network to a smaller "Student" network. In th
Externí odkaz:
http://arxiv.org/abs/2406.03173
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 that could harm document images, making it more difficult to recogniz
Externí odkaz:
http://arxiv.org/abs/2312.03946
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 step for achieving the most optimal performance in any document analys
Externí odkaz:
http://arxiv.org/abs/2312.03568
Autor:
Biswas, Risab
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 medical image segmentation. In the field of medical image segmentatio
Externí odkaz:
http://arxiv.org/abs/2308.06623