Francesco Barbato | DeepAI

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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...

0 Chang Liu, et al. ∙

∙ 08/21/2023

SynDrone – Multi-modal UAV Dataset for Urban Scenarios

The development of computer vision algorithms for Unmanned Aerial Vehicl...

0 Giulia Rizzoli, et al. ∙

∙ 08/09/2023

Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network

State-of-the-art multimodal semantic segmentation approaches combining L...

0 Francesco Barbato, et al. ∙

∙ 11/08/2022

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks

Most approaches for semantic segmentation use only information from colo...

0 Francesco Barbato, et al. ∙

∙ 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 ...

8 Paolo Testolina, et al. ∙

∙ 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...

12 Donald Shenaj, et al. ∙

∙ 08/06/2021

Adapting Segmentation Networks to New Domains by Disentangling Latent Representations

Deep learning models achieve outstanding accuracy in semantic segmentati...

32 Francesco Barbato, et al. ∙

∙ 04/06/2021

Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation

Deep convolutional neural networks for semantic segmentation allow to ac...

0 Francesco Barbato, et al. ∙

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