no code implementations • 14 Jan 2018 • Dipan K. Pal, Marios Savvides
In this paper, we introduce a new class of deep convolutional architectures called Non-Parametric Transformation Networks (NPTNs) which can learn \textit{general} invariances and symmetries directly from data.
no code implementations • CVPR 2018 • Yutong Zheng, Dipan K. Pal, Marios Savvides
We motivate and present Ring loss, a simple and elegant feature normalization approach for deep networks designed to augment standard loss functions such as Softmax.
no code implementations • 26 Oct 2017 • Pokkalla Harsha Vardhan, Kunal Sekhri, Dipan K. Pal, Marios Savvides
The problem of object localization has become one of the mainstream problems of vision.
no code implementations • 24 Oct 2017 • Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides
The study of representations invariant to common transformations of the data is important to learning.
no code implementations • 24 Feb 2017 • Dipan K. Pal, Marios Savvides
In this paper, we theoretically address three fundamental problems involving deep convolutional networks regarding invariance, depth and hierarchy.
no code implementations • 30 Jan 2017 • Dipan K. Pal, Vishnu Boddeti, Marios Savvides
We illustrate the general notion of selective invari- ance through object categorization experiments on large- scale datasets such as SVHN and ILSVRC 2012.
no code implementations • 18 Nov 2015 • Dipan K. Pal, Marios Savvides
The study of representations invariant to common transformations of the data is important to learning.
no code implementations • CVPR 2016 • Dipan K. Pal, Felix Juefei-Xu, Marios Savvides
We propose an explicitly discriminative and `simple' approach to generate invariance to nuisance transformations modeled as unitary.
no code implementations • 17 Mar 2019 • Raied Aljadaany, Dipan K. Pal, Marios Savvides
This is in contrast to the common practice in literature of having the prior to be fixed and fully instantiated even during training stages.
no code implementations • 13 Nov 2019 • Dipan K. Pal, Akshay Chawla, Marios Savvides
One of the fundamental problems in supervised classification and in machine learning in general, is the modelling of non-parametric invariances that exist in data.
no code implementations • 24 Nov 2019 • Dipan K. Pal, Sreena Nallamothu, Marios Savvides
Overall, this paper aims to shed light on the phenomenon of visual transformation based self-supervision.