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12/12/2022
Carpet-bombing patch: attacking a deep network without usual requirements
Although deep networks have shown vulnerability to evasion attacks, such...
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01/04/2022
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
We propose in this article to build up a collaboration between a deep ne...
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01/04/2022
Weakly-supervised continual learning for class-incremental segmentation
Transfer learning is a powerful way to adapt existing deep learning mode...
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05/28/2021
Demotivate adversarial defense in remote sensing
Convolutional neural networks are currently the state-of-the-art algorit...
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01/29/2021
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
Navigation problems under unknown varying conditions are among the most ...
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11/13/2020
SALAD: Self-Assessment Learning for Action Detection
Literature on self-assessment in machine learning mainly focuses on the ...
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09/23/2020
Interactive Learning for Semantic Segmentation in Earth Observation
Dense pixel-wise classification maps output by deep neural networks are ...
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04/30/2020
Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation
Transferring learning-based models to the real world remains one of the ...
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04/15/2020
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
Summarizing video content is an important task in many applications. Thi...
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03/31/2020
DISIR: Deep Image Segmentation with Interactive Refinement
This paper presents an interactive approach for multi-class segmentation...
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01/22/2019