1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images
Prithul Sarker, Sushmita Sarker, George Bebis +1
Deep learning has made a breakthrough in medical image segmentation in recent years due to its ability to extract high-level features without the need for prior knowledge. In this…
cs.CV2021
Resource Efficient Mountainous Skyline Extraction using Shallow Learning
Touqeer Ahmad, Ebrahim Emami, Martin Čadík +1
Skyline plays a pivotal role in mountainous visual geo-localization and localization/navigation of planetary rovers/UAVs and virtual/augmented reality applications. We present a no…
cs.CV2018
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection
Touqeer Ahmad, Pavel Campr, Martin Čadík +1
Horizon or skyline detection plays a vital role towards mountainous visual geo-localization, however most of the recently proposed visual geo-localization approaches rely on \textb…