62 citations · 106 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 62 cited
Automatic Hierarchical Classification of Kelps using Deep Residual Features
Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun +6
Across the globe, remote image data is rapidly being collected for the assessment of benthic communities from shallow to extremely deep waters on continental slopes to the abyssal…
cs.CV2016★ 44 cited
ResFeats: Residual Network Based Features for Image Classification
Ammar Mahmood, Mohammed Bennamoun, Senjian An +1
Deep residual networks have recently emerged as the state-of-the-art architecture in image segmentation and object detection. In this paper, we propose new image features (called R…