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Binglin Qiu

2 accepted papers

2024

Not Just Object, But State: Compositional Incremental Learning without Forgetting

NeurIPS 2024poster

Most incremental learners excessively prioritize object classes while neglecting various kinds of states (e.g. color and material) attached to the objects. As a result, they are limited in the ability to model state-object compositionality accurately. To remedy this limitation, we propose a novel ta…

2024

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization

CVPR 2024highlight

Ultra-fine-grained visual categorization (Ultra-FGVC) aims at distinguishing highly similar sub-categories within fine-grained objects such as different soybean cultivars. Compared to traditional fine-grained visual categorization Ultra-FGVC encounters more hurdles due to the small inter-class and l…