8 citations · 14 across the 11 of their papers we have counts for
11 papers
Towards Generative Class Prompt Learning for Fine-grained Visual Recognition
Soumitri Chattopadhyay, Sanket Biswas, Emanuele Vivoli +1
Although foundational vision-language models (VLMs) have proven to be very successful for various semantic discrimination tasks, they still struggle to perform faithfully for fine-…
Active Learning for Fine-Grained Sketch-Based Image Retrieval
Himanshu Thakur, Soumitri Chattopadhyay
The ability to retrieve a photo by mere free-hand sketching highlights the immense potential of Fine-grained sketch-based image retrieval (FG-SBIR). However, its rapid practical ad…
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey +2
In contemporary self-supervised contrastive algorithms like SimCLR, MoCo, etc., the task of balancing attraction between two semantically similar samples and repulsion between two…
BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion
Ahana Deb, Sayan Nag, Ayan Mahapatra +6
Spoken languages often utilise intonation, rhythm, intensity, and structure, to communicate intention, which can be interpreted differently depending on the rhythm of speech of the…
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley +4
This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by putting forward a strong baseline that overshoots prior state-of-the-arts by ~11%. This is…
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury +2
Privacy and annotation bottlenecks are two major issues that profoundly affect the practicality of machine learning-based medical image analysis. Although significant progress has…
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury +2
The success of self-supervised learning (SSL) has mostly been attributed to the availability of unlabeled yet large-scale datasets. However, in a specialized domain such as medical…
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu +2
Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the e…
SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification
Siladittya Manna, Soumitri Chattopadhyay, Saumik Bhattacharya +1
Writer independent offline signature verification is one of the most challenging tasks in pattern recognition as there is often a scarcity of training data. To handle such data sca…
A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques
Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik
Metaheuristic algorithms are methods devised to efficiently solve computationally challenging optimization problems. Researchers have taken inspiration from various natural and phy…
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
Soumitri Chattopadhyay, Siladittya Manna, Saumik Bhattacharya +1
Offline Signature Verification (OSV) is a fundamental biometric task across various forensic, commercial and legal applications. The underlying task at hand is to carefully model f…