Search Results for author: Siladittya Manna

Found 8 papers, 4 papers with code

DySTreSS: Dynamically Scaled Temperature in Self-Supervised Contrastive Learning

no code implementations2 Aug 2023 Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey, Saumik Bhattacharya, Umapada Pal

We propose a cosine similarity-dependent temperature scaling function to effectively optimize the distribution of the samples in the feature space.

Contrastive Learning

SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation

1 code implementation1 May 2023 Subhajit Maity, Sanket Biswas, Siladittya Manna, Ayan Banerjee, Josep Lladós, Saumik Bhattacharya, Umapada Pal

Document layout analysis is a known problem to the documents research community and has been vastly explored yielding a multitude of solutions ranging from text mining, and recognition to graph-based representation, visual feature extraction, etc.

Document Layout Analysis object-detection +1

SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification

no code implementations26 Feb 2022 Siladittya Manna, Soumitri Chattopadhyay, Saumik Bhattacharya, Umapada Pal

Writer independent offline signature verification is one of the most challenging tasks in pattern recognition as there is often a scarcity of training data.

Representation Learning Self-Supervised Learning

MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning

no code implementations24 Nov 2021 Siladittya Manna, Umapada Pal, Saumik Bhattacharya

After 200 epochs of pre-training with ResNet-18 as the backbone, the proposed model achieves an accuracy of 86. 2\%, 58. 18\%, 77. 49\%, and 30. 87\% on CIFAR-10, CIFAR-100, STL-10, and Tiny-ImageNet datasets, respectively, and surpasses the SOTA contrastive baseline by 1. 23\%, 3. 57\%, 2. 00\%, and 0. 33\%, respectively.

Binary Classification Contrastive Learning

Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MR Videos

1 code implementation15 Jul 2020 Siladittya Manna, Saumik Bhattacharya, Umapada Pal

In this paper, we propose a self-supervised learning approach to learn transferable features from MR video clips by enforcing the model to learn anatomical features.

Representation Learning Self-Supervised Learning

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