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04/07/2023
Asynchronous Federated Continual Learning
The standard class-incremental continual learning setting assumes a set ...
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10/13/2022
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Deep learning models dealing with image understanding in real-world sett...
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08/08/2021
RECALL: Replay-based Continual Learning in Semantic Segmentation
Deep networks allow to obtain outstanding results in semantic segmentati...
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08/06/2021
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations
Deep learning models achieve outstanding accuracy in semantic segmentati...
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04/06/2021
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation
Deep convolutional neural networks for semantic segmentation allow to ac...
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11/25/2020
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Deep learning frameworks allowed for a remarkable advancement in semanti...
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05/21/2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
The aim of this paper is to give an overview of the recent advancements ...
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04/27/2020
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
Unsupervised Domain Adaptation (UDA) aims at improving the generalizatio...
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01/14/2020
