Marc Masana

Orcid: 0000-0003-3254-3096

According to our database1, Marc Masana authored at least 26 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
A Continual Learning Survey: Defying Forgetting in Classification Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
On the importance of cross-task features for class-incremental learning.
CoRR, 2021

Avalanche: an End-to-End Library for Continual Learning.
CoRR, 2021

Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


2020
Lifelong Learning of Neural Networks: Detecting Novelty and Adapting to New Domains without Forgetting.
PhD thesis, 2020

Saliency from High-Level Semantic Image Features.
SN Comput. Sci., 2020

Class-incremental learning: survey and performance evaluation.
CoRR, 2020

Disentanglement of Color and Shape Representations for Continual Learning.
CoRR, 2020

On Class Orderings for Incremental Learning.
CoRR, 2020

Ternary Feature Masks: continual learning without any forgetting.
CoRR, 2020

2019
Continual learning: A comparative study on how to defy forgetting in classification tasks.
CoRR, 2019

GTCreator: a flexible annotation tool for image-based datasets.
Int. J. Comput. Assist. Radiol. Surg., 2019

2018
Context proposals for saliency detection.
Comput. Vis. Image Underst., 2018

LIUM-CVC Submissions for WMT18 Multimodal Translation Task.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Metric Learning for Novelty and Anomaly Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
LIUM-CVC Submissions for WMT17 Multimodal Translation Task.
Proceedings of the Second Conference on Machine Translation, 2017

Domain-Adaptive Deep Network Compression.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
On-the-fly Network Pruning for Object Detection.
CoRR, 2016

Does Multimodality Help Human and Machine for Translation and Image Captioning?
Proceedings of the First Conference on Machine Translation, 2016

Hierarchical part detection with deep neural networks.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2013
Interactive Visual and Semantic Image Retrieval.
Proceedings of the Multimodal Interaction in Image and Video Applications, 2013


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