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09/19/2023
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation
Catastrophic forgetting of previous knowledge is a critical issue in con...
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07/24/2023
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics
Keyword Spotting (KWS) models on embedded devices should adapt fast to n...
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07/24/2023
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization
Recent advancement in Automatic Speech Recognition (ASR) has produced la...
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07/19/2023
Online Continual Learning for Robust Indoor Object Recognition
Vision systems mounted on home robots need to interact with unseen class...
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01/26/2023
Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation
Recent advances in autonomous robotic technologies have highlighted the ...
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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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04/20/2022
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Accurate scene understanding from multiple sensors mounted on cars is a ...
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01/18/2022
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation
Deep neural networks are typically trained in a single shot for a specif...
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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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05/19/2021
Prototype Guided Federated Learning of Visual Feature Representations
Federated Learning (FL) is a framework which enables distributed model t...
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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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03/10/2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Deep neural networks suffer from the major limitation of catastrophic fo...
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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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07/17/2020
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...
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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
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
The supervised training of deep networks for semantic segmentation requi...
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11/08/2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Although deep learning architectures have shown remarkable results in sc...
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09/02/2019
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
Deep learning techniques have been widely used in autonomous driving sys...
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07/31/2019
Incremental Learning Techniques for Semantic Segmentation
Deep learning architectures exhibit a critical drop of performance due t...
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04/22/2018
Complex Network Analysis of Men Single ATP Tennis Matches
Who are the most significant players in the history of men tennis? Is th...
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03/06/2018
