94 citations · 173 across the 5 of their papers we have counts for
8 papers
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness
Md Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis +1
In this paper, we present a strategy for training convolutional neural networks to effectively resolve interference arising from competing hypotheses relating to inter-categorical…
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve
Sen Jia, Neil D. B. Bruce
Saliency detection has been widely studied because it plays an important role in various vision applications, but it is difficult to evaluate saliency systems because each measure…
How Much Position Information Do Convolutional Neural Networks Encode?
Md Amirul Islam, Sen Jia, Neil D. B. Bruce
In contrast to fully connected networks, Convolutional Neural Networks (CNNs) achieve efficiency by learning weights associated with local filters with a finite spatial extent. An…
Distributed Iterative Gating Networks for Semantic Segmentation
Rezaul Karim, Md Amirul Islam, Neil D. B. Bruce
In this paper, we present a canonical structure for controlling information flow in neural networks with an efficient feedback routing mechanism based on a strategy of Distributed…
Richer and Deeper Supervision Network for Salient Object Detection
Sen Jia, Neil D. B. Bruce
Recent Salient Object Detection (SOD) systems are mostly based on Convolutional Neural Networks (CNNs). Specifically, Deeply Supervised Saliency (DSS) system has shown it is very u…
SMILER: Saliency Model Implementation Library for Experimental Research
Calden Wloka, Toni Kunić, Iuliia Kotseruba +4
The Saliency Model Implementation Library for Experimental Research (SMILER) is a new software package which provides an open, standardized, and extensible framework for maintainin…