285 citations · 429 across the 17 of their papers we have counts for
4 papers · 1 filter
Semantic Binary Segmentation using Convolutional Networks without Decoders
Shubhra Aich, William van der Kamp, Ian Stavness
In this paper, we propose an efficient architecture for semantic image segmentation using the depth-to-space (D2S) operation. Our D2S model is comprised of a standard CNN encoder f…
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images
Shubhra Aich, Ian Stavness
In this paper, we explore the problem of training one-look regression models for counting objects in datasets comprising a small number of high-resolution, variable-shaped images.…
Bridgeout: stochastic bridge regularization for deep neural networks
Najeeb Khan, Jawad Shah, Ian Stavness
A major challenge in training deep neural networks is overfitting, i.e. inferior performance on unseen test examples compared to performance on training examples. To reduce overfit…
Improving Object Counting with Heatmap Regulation
Shubhra Aich, Ian Stavness
In this paper, we propose a simple and effective way to improve one-look regression models for object counting from images. We use class activation map visualizations to illustrate…