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04/25/2023
Towards Compute-Optimal Transfer Learning
The field of transfer learning is undergoing a significant shift with th...
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11/25/2022
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
Continual learning for segmentation has recently seen increasing interes...
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04/30/2022
Foundational Models for Continual Learning: An Empirical Study of Latent Replay
Rapid development of large-scale pre-training has resulted in foundation...
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04/25/2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...
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11/22/2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Deep network architectures struggle to continually learn new tasks witho...
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06/29/2021
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Deep learning approaches are nowadays ubiquitously used to tackle comput...
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02/11/2021
Continuum: Simple Management of Complex Continual Learning Scenarios
Continual learning is a machine learning sub-field specialized in settin...
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11/23/2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Deep learning approaches are nowadays ubiquitously used to tackle comput...
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10/06/2020
CORE: Color Regression for Multiple Colors Fashion Garments
Among all fashion attributes, color is challenging to detect due to its ...
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06/24/2020
Insights from the Future for Continual Learning
Continual learning aims to learn tasks sequentially, with (often severe)...
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04/28/2020
