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20192022
most citedUnsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss

22 citations · 22 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022

Multispectral Satellite Data Classification using Soft Computing Approach

Purbarag Pathak Choudhury, Ujjal Kr Dutta, Dhruba Kr Bhattacharyya

A satellite image is a remotely sensed image data, where each pixel represents a specific location on earth. The pixel value recorded is the reflection radiation from the earth's s…

cs.CV2021

Color Variants Identification in Fashion e-commerce via Contrastive Self-Supervised Representation Learning

Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar +1

In this paper, we utilize deep visual Representation Learning to address an important problem in fashion e-commerce: color variants identification, i.e., identifying fashion produc…

cs.CV202022 cited

Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

Metric learning is an important problem in machine learning. It aims to group similar examples together. Existing state-of-the-art metric learning approaches require class labels t…

cs.CV2020

Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes

Rajdeep Hazra Banerjee, Abhinav Ravi, Ujjal Kr Dutta

Popular fashion e-commerce platforms mostly provide details about low-level attributes of an apparel (eg, neck type, dress length, collar type) on their product detail pages. Howev…

cs.CV2020

Buy Me That Look: An Approach for Recommending Similar Fashion Products

Abhinav Ravi, Sandeep Repakula, Ujjal Kr Dutta +1

Have you ever looked at an Instagram model, or a model in a fashion e-commerce web-page, and thought \textit{"Wish I could get a list of fashion items similar to the ones worn by t…

cs.CV2020

Affinity guided Geometric Semi-Supervised Metric Learning

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

In this paper, we revamp the forgotten classical Semi-Supervised Distance Metric Learning (SSDML) problem from a Riemannian geometric lens, to leverage stochastic optimization with…