Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers

ArXi:2604.00809v1 Announce Type: new 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-provided query. Starting from a large unlabeled image collection, the aim is to rapidly identify diverse instances of an object category relying solely on the initial query and the user's Relevance Feedback, with no prior labels.