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08/30/2023
Application of Zone Method based Machine Learning and Physics-Informed Neural Networks in Reheating Furnaces
Despite the high economic relevance of Foundation Industries, certain co...
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08/20/2022
Fuse and Attend: Generalized Embedding Learning for Art and Sketches
While deep Embedding Learning approaches have witnessed widespread succe...
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03/21/2022
Multispectral Satellite Data Classification using Soft Computing Approach
A satellite image is a remotely sensed image data, where each pixel repr...
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12/06/2021
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
In this paper, we address a crucial problem in fashion e-commerce (with ...
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12/06/2021
Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning
Despite tremendous improvements in state-of-the-art object detectors, ad...
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05/10/2021
Semi-Supervised Metric Learning: A Deep Resurrection
Distance Metric Learning (DML) seeks to learn a discriminative embedding...
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04/17/2021
Color Variants Identification via Contrastive Self-Supervised Representation Learning
In this paper, we utilize deep visual Representation Learning to address...
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08/26/2020
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes
Popular fashion e-commerce platforms mostly provide details about low-le...
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08/26/2020
Buy Me That Look: An Approach for Recommending Similar Fashion Products
The recent proliferation of numerous fashion e-commerce platforms has le...
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08/22/2020
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss
Metric learning is an important problem in machine learning. It aims to ...
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02/27/2020
Affinity guided Geometric Semi-Supervised Metric Learning
In this paper, we address the semi-supervised metric learning problem, w...
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12/17/2019
