no code implementations • 15 Sep 2023 • 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).
no code implementations • 2 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.
no code implementations • 5 Jun 2023 • Ahana Deb, Sayan Nag, Ayan Mahapatra, Soumitri Chattopadhyay, Aritra Marik, Pijush Kanti Gayen, Shankha Sanyal, Archi Banerjee, Samir Karmakar
Spoken languages often utilise intonation, rhythm, intensity, and structure, to communicate intention, which can be interpreted differently depending on the rhythm of speech of their utterance.
no code implementations • CVPR 2023 • Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Tao Xiang, Yi-Zhe Song
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%.
no code implementations • 9 Mar 2023 • Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag, Samiran Chattopadhyay
In this paper, we seek to tackle these concerns head-on and systematically explore the applicability of non-contrastive self-supervised learning (SSL) algorithms under federated learning (FL) simulations for medical image analysis.
1 code implementation • 3 Mar 2023 • Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag, Samiran Chattopadhyay
The success of self-supervised learning (SSL) has mostly been attributed to the availability of unlabeled yet large-scale datasets.
1 code implementation • 26 Oct 2022 • Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu, Sayan Nag, Rammohan Mallipeddi
To this end, we extend the concept of metric learning to the segmentation task, using a dense (dis)similarity learning for pre-training a deep encoder network, and employing a semi-supervised paradigm to fine-tune for the downstream task.
no code implementations • 26 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.
no code implementations • 30 Jan 2022 • Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik
Metaheuristic algorithms are methods devised to efficiently solve computationally challenging optimization problems.
1 code implementation • 25 Jan 2022 • Soumitri Chattopadhyay, Siladittya Manna, Saumik Bhattacharya, Umapada Pal
This results in robust discriminative learning of the embedding space.