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The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

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The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

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Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Enabling Uncertainty Estimation in Iterative Neural Networks

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Segmenting Without Annotating: Crack Segmentation and Monitoring via Post-Hoc Classifier Explanations

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Self-supervised Segmentation via Background Inpainting

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery

Automation of the diagnosis process in the railway system : Detection of defects in concrete sleepers using vision-based machine learning models

Learning to Reduce Annotation Load

Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks