11 citations · 13 across the 4 of their papers we have counts for
5 papers · 1 filter
Semi-supervised Source Detection in Astronomical Images: New Benchmark and Strong Baseline
Longhan Feng, Zihuang Cao, Ali Luo +5
Source detection in modern observational astronomy is a cornerstone for localizing and identifying stellar sources accurately. It is crucial for studies such as stellar population…
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang, Binglin Qiu, Qi Jia +2
Most incremental learners excessively prioritize coarse classes of objects while neglecting various kinds of states (e.g. color and material) attached to the objects. As a result,…
Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection
Yixin Guo, Yu Liu, Jianghao Li +2
Zero-shot human-object interaction (HOI) detector is capable of generalizing to HOI categories even not encountered during training. Inspired by the impressive zero-shot capabiliti…
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
Yu Liu, Yaqi Cai, Qi Jia +3
Ultra-fine-grained visual categorization (Ultra-FGVC) aims at distinguishing highly similar sub-categories within fine-grained objects, such as different soybean cultivars. Compare…
CSCNET: Class-Specified Cascaded Network for Compositional Zero-Shot Learning
Yanyi Zhang, Qi Jia, Xin Fan +2
Attribute and object (A-O) disentanglement is a fundamental and critical problem for Compositional Zero-shot Learning (CZSL), whose aim is to recognize novel A-O compositions based…