50 citations · 76 across the 3 of their papers we have counts for
4 papers · 1 filter
Confidence-Aware Learning for Camouflaged Object Detection
Jiawei Liu, Jing Zhang, Nick Barnes
Confidence-aware learning is proven as an effective solution to prevent networks becoming overconfident. We present a confidence-aware camouflaged object detection framework using…
Simultaneously Localize, Segment and Rank the Camouflaged Objects
Yunqiu Lv, Jing Zhang, Yuchao Dai +4
Camouflage is a key defence mechanism across species that is critical to survival. Common strategies for camouflage include background matching, imitating the color and pattern of…
A Deep Journey into Super-resolution: A survey
Saeed Anwar, Salman Khan, Nick Barnes
Deep convolutional networks based super-resolution is a fast-growing field with numerous practical applications. In this exposition, we extensively compare 30+ state-of-the-art sup…
Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features
Riku Shigematsu, David Feng, Shaodi You +1
Recently, deep Convolutional Neural Networks (CNN) have demonstrated strong performance on RGB salient object detection. Although, depth information can help improve detection resu…