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11/09/2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
Semantic segmentation is a task that traditionally requires a large data...
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08/07/2019
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation
Adversarial training has been recently employed for realizing structured...
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08/02/2018
Dynamic Adaptation on Non-Stationary Visual Domains
Domain adaptation aims to learn models on a supervised source domain tha...
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06/14/2018
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
Convolutional neural networks have been successfully applied to semantic...
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03/02/2016
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions
Ultrasound (US) is the most commonly used liver imaging modality worldwi...
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10/21/2015
