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20182023
most citedImpact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

581 citations · 806 across the 16 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019

diffGrad: An Optimization Method for Convolutional Neural Networks

Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3

Stochastic Gradient Decent (SGD) is one of the core techniques behind the success of deep neural networks. The gradient provides information on the direction in which a function ha…

cs.CV2019★ 5 cited

Visual Question Answering using Deep Learning: A Survey and Performance Analysis

Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey +1

The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic `common sense' questions about given im…

cs.CV2019

A Conditional Adversarial Network for Scene Flow Estimation

Ravi Kumar Thakur, Snehasis Mukherjee

The problem of Scene flow estimation in depth videos has been attracting attention of researchers of robot vision, due to its potential application in various areas of robotics. Th…

cs.CV2019

Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks

Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey +1

Facial expression recognition in videos is an active area of research in computer vision. However, fake facial expressions are difficult to be recognized even by humans. On the oth…

cs.CV2019★ 581 cited

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1

The Convolutional Neural Networks (CNNs), in domains like computer vision, mostly reduced the need for handcrafted features due to its ability to learn the problem-specific feature…