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Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Deep learning frameworks allowed for a remarkable advancement in semanti...
11/25/2020 ∙ by Marco Toldo, et al. ∙
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GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
The semantic segmentation of parts of objects in the wild is a challengi...
07/17/2020 ∙ by Umberto Michieli, et al. ∙
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Unsupervised Domain Adaptation in Semantic Segmentation: a Review
The aim of this paper is to give an overview of the recent advancements ...
05/21/2020 ∙ by Marco Toldo, et al. ∙
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Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
Unsupervised Domain Adaptation (UDA) aims at improving the generalizatio...
04/27/2020 ∙ by Teo Spadotto, et al. ∙
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Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
The supervised training of deep networks for semantic segmentation requi...
01/14/2020 ∙ by Marco Toldo, et al. ∙
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Knowledge Distillation for Incremental Learning in Semantic Segmentation
Although deep learning architectures have shown remarkable results in sc...
11/08/2019 ∙ by Umberto Michieli, et al. ∙
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Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
Deep learning techniques have been widely used in autonomous driving sys...
09/02/2019 ∙ by Umberto Michieli, et al. ∙
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Incremental Learning Techniques for Semantic Segmentation
Deep learning architectures exhibit a critical drop of performance due t...
07/31/2019 ∙ by Umberto Michieli, et al. ∙
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Complex Network Analysis of Men Single ATP Tennis Matches
Who are the most significant players in the history of men tennis? Is th...
04/22/2018 ∙ by Umberto Michieli, et al. ∙
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Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles
Interactions between pedestrians, bikers, and human-driven vehicles have...
03/06/2018 ∙ by Umberto Michieli, et al. ∙
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