arXiv:2603.24480v2 Announce Type: replace
Abstract: Real-world fine-grained visual retrieval often requires discovering a rare concept from large unlabeled collections with minimal supervision. This is especially critical in biodiversity monitoring, e…
arXiv:2604.00809v1 Announce Type: new
Abstract: 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, specified by a user-provid…
arXiv:2603.24480v1 Announce Type: new
Abstract: Real-world fine-grained visual retrieval often requires discovering a rare concept from large unlabeled collections with minimal supervision. This is especially critical in biodiversity monitoring, ecolo…