1.9k citations · 2.6k across the 51 of their papers we have counts for
7 papers · 1 filter
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…
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…
Deep Laparoscopic Stereo Matching with Transformers
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi +3
The self-attention mechanism, successfully employed with the transformer structure is shown promise in many computer vision tasks including image recognition, and object detection.…
Rethinking Generalization in Few-Shot Classification
Markus Hiller, Rongkai Ma, Mehrtash Harandi +1
Single image-level annotations only correctly describe an often small subset of an image's content, particularly when complex real-world scenes are depicted. While this might be ac…
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Markus Hiller, Mehrtash Harandi, Tom Drummond
Inspired by the concept of preconditioning, we propose a novel method to increase adaptation speed for gradient-based meta-learning methods without incurring extra parameters. We d…
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…
Progressive Video Summarization via Multimodal Self-supervised Learning
Li Haopeng, Ke Qiuhong, Gong Mingming +1
Modern video summarization methods are based on deep neural networks that require a large amount of annotated data for training. However, existing datasets for video summarization…