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cs.CV2025
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval
Kshitij Kavimandan, Angelos Nalmpantis, Emma Beauxis-Aussalet +1
Patent images are technical drawings that convey information about a patent's innovation. Patent image retrieval systems aim to search in vast collections and retrieve the most rel…
cs.CV2023★ 2 cited
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking
Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras +2
The lack of interpretability of the Vision Transformer may hinder its use in critical real-world applications despite its effectiveness. To overcome this issue, we propose a post-h…