Author |
Title |
Year |
Publication |
Volume |
Pages |
Luis Herranz; Weiqing Min; Shuqiang Jiang |
Food recognition and recipe analysis: integrating visual content, context and external knowledge |
2018 |
Arxiv |
|
|
Maciej Wielgosz; Antonio Lopez; Muhamad Naveed Riaz |
CARLA-BSP: a simulated dataset with pedestrians |
2023 |
Arxiv |
|
|
Maedeh Aghaei; Mariella Dimiccoli; Petia Radeva |
Multi-Face Tracking by Extended Bag-of-Tracklets in Egocentric Videos |
2015 |
Arxiv |
|
|
Marcin Przewiezlikowski; Mateusz Pyla; Bartosz Zielinski; Bartłomiej Twardowski; Jacek Tabor; Marek Smieja |
Augmentation-aware Self-supervised Learning with Guided Projector |
2023 |
arxiv |
|
|
Marco Cotogni; Fei Yang; Claudio Cusano; Andrew Bagdanov; Joost Van de Weijer |
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation |
2023 |
ARXIV |
|
|
Marco Cotogni; Fei Yang; Claudio Cusano; Andrew Bagdanov; Joost Van de Weijer |
Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers |
2022 |
Arxiv |
|
|
Marwa Dhiaf; Mohamed Ali Souibgui; Kai Wang; Yuyang Liu; Yousri Kessentini; Alicia Fornes; Ahmed Cheikh Rouhou |
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition |
2023 |
Arxiv |
|
|
Mateusz Pyla; Kamil Deja; Bartłomiej Twardowski; Tomasz Trzcinski |
Bayesian Flow Networks in Continual Learning |
2023 |
arxiv |
|
|
Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh; Syeda Furruka Banu; Farhan Akram; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig |
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network |
2019 |
Arxiv |
|
|
Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Antonio Moreno; Petia Radeva; Domenec Puig |
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. |
2018 |
Arxiv |
|
|
Mert Kilickaya; Joost van de Weijer; Yuki M. Asano |
Towards Label-Efficient Incremental Learning: A Survey |
2023 |
Arxiv |
|
|
Mikel Menta; Adriana Romero; Joost Van de Weijer |
Learning to adapt class-specific features across domains for semantic segmentation |
2020 |
Arxiv |
|
|
Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Ruben Ballester; Claudio Battiloro; Guillermo Bernardez; Tolga Birdal; Aiden Brent; Peter Chin; Sergio Escalera; Simone Fiorellino; Odin Hoff Gardaa; Gurusankar Gopalakrishnan; Devendra Govil; Josef Hoppe; Maneel Reddy Karri; Jude Khouja; Manuel Lecha; Neal Livesay; Jan Meibner; Soham Mukherjee; Alexander Nikitin; Theodore Papamarkou; Jaro Prilepok; Karthikeyan Natesan Ramamurthy; Paul Rosen; Aldo Guzman-Saenz; Alessandro Salatiello; Shreyas N. Samaga; Simone Scardapane; Michael T. Schaub; Luca Scofano; Indro Spinelli; Lev Telyatnikov; Quang Truong; Robin Walters; Maosheng Yang; Olga Zaghen; Ghada Zamzmi; Ali Zia; Nina Miolane |
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains |
2024 |
Arxiv |
|
|
Oriol Ramos Terrades; Albert Berenguel; Debora Gil |
A flexible outlier detector based on a topology given by graph communities |
2020 |
Arxiv |
|
|
Pau Cano; Alvaro Caravaca; Debora Gil; Eva Musulen |
Diagnosis of Helicobacter pylori using AutoEncoders for the Detection of Anomalous Staining Patterns in Immunohistochemistry Images |
2023 |
Arxiv |
|
107241 |