Despite the high economic relevance of Foundation Industries, certain
co...
While deep Embedding Learning approaches have witnessed widespread succe...
A satellite image is a remotely sensed image data, where each pixel
repr...
In this paper, we address a crucial problem in fashion e-commerce (with
...
Despite tremendous improvements in state-of-the-art object detectors,
ad...
Distance Metric Learning (DML) seeks to learn a discriminative embedding...
In this paper, we utilize deep visual Representation Learning to address...
Popular fashion e-commerce platforms mostly provide details about low-le...
The recent proliferation of numerous fashion e-commerce platforms has le...
Metric learning is an important problem in machine learning. It aims to ...
In this paper, we address the semi-supervised metric learning problem, w...
For challenging machine learning problems such as zero-shot learning and...