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20172022
most citedHierarchical Neural Architecture Search for Deep Stereo Matching

230 citations · 347 across the 18 of their papers we have counts for

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27 papers · 1 filter

cs.CV2022

Multimorbidity Content-Based Medical Image Retrieval Using Proxies

Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi +2

Content-based medical image retrieval is an important diagnostic tool that improves the explainability of computer-aided diagnosis systems and provides decision making support to h…

cs.CV2022

A Differentiable Distance Approximation for Fairer Image Classification

Nicholas Rosa, Tom Drummond, Mehrtash Harandi

Naively trained AI models can be heavily biased. This can be particularly problematic when the biases involve legally or morally protected attributes such as ethnic background, age…

cs.CV20221 cited

Implicit Motion Handling for Video Camouflaged Object Detection

Xuelian Cheng, Huan Xiong, Deng-Ping Fan +4

We propose a new video camouflaged object detection (VCOD) framework that can exploit both short-term dynamics and long-term temporal consistency to detect camouflaged objects from…

cs.CV20211 cited

Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

Lie Ju, Xin Wang, Lin Wang +5

In the real world, medical datasets often exhibit a long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes have rarely few samples), which r…

cs.CV202111 cited

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation

Lie Ju, Xin Wang, Lin Wang +6

Deep neural networks are known to be data-driven and label noise can have a marked impact on model performance. Recent studies have shown great robustness to classic image recognit…

cs.CV2020

Localising In Complex Scenes Using Balanced Adversarial Adaptation

Gil Avraham, Yan Zuo, Tom Drummond

Domain adaptation and generative modelling have collectively mitigated the expensive nature of data collection and labelling by leveraging the rich abundance of accurate, labelled…