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20142025
most citedRevisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

10 citations · 29 across the 18 of their papers we have counts for

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cs.CV2024

The Common Stability Mechanism behind most Self-Supervised Learning Approaches

Abhishek Jha, Matthew B. Blaschko, Yuki M. Asano +1

Last couple of years have witnessed a tremendous progress in self-supervised learning (SSL), the success of which can be attributed to the introduction of useful inductive biases i…

cs.CV2024

Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysis

Mingshi Li, Dusan Grujicic, Steven De Saeger +3

In recent years, machine learning has become crucial in remote sensing analysis, particularly in the domain of Land-use/Land-cover (LULC). The synergy of machine learning and satel…

cs.CV202310 cited

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Zifu Wang, Maxim Berman, Amal Rannen-Triki +6

Semantic segmentation datasets often exhibit two types of imbalance: \textit{class imbalance}, where some classes appear more frequently than others and \textit{size imbalance}, wh…

cs.CV2023

Beyond Document Page Classification: Design, Datasets, and Challenges

Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko +1

This paper highlights the need to bring document classification benchmarking closer to real-world applications, both in the nature of data tested (: multi-channel, multi-paged,…

cs.CV2023

Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction

Wangduo Xie, Matthew B. Blaschko

CT images corrupted by metal artifacts have serious negative effects on clinical diagnosis. Considering the difficulty of collecting paired data with ground truth in clinical setti…

cs.CV2023

Multimodal Distillation for Egocentric Action Recognition

Gorjan Radevski, Dusan Grujicic, Marie-Francine Moens +2

The focal point of egocentric video understanding is modelling hand-object interactions. Standard models, e.g. CNNs or Vision Transformers, which receive RGB frames as input perfor…