3 papers
cs.CV2026
Self-Supervised Learning as Discrete Communication
Kawtar Zaher, Ilyass Moummad, Olivier Buisson +1
Most self-supervised learning (SSL) methods learn continuous visual representations by aligning different views of the same input, offering limited control over how information is…
cs.CV2026
Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers
Kawtar Zaher, Olivier Buisson, Alexis Joly
Building on existing approaches, we revisit Human-in-the-Loop Object Retrieval, a task that consists of iteratively retrieving images containing objects of a class-of-interest, spe…
cs.CV2026
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories
Kawtar Zaher, Olivier Buisson, Alexis Joly
Real-world fine-grained visual retrieval often requires discovering a rare concept from large unlabeled collections with minimal supervision. This is especially critical in biodive…