research
∙
06/02/2022
Multi-View Active Fine-Grained Recognition
As fine-grained visual classification (FGVC) being developed for decades...
share
research
∙
06/01/2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel composit...
research
∙
04/18/2022
Caption Feature Space Regularization for Audio Captioning
Audio captioning aims at describing the content of audio clips with huma...
research
∙
01/20/2022
Domain Generalization via Frequency-based Feature Disentanglement and Interaction
Data out-of-distribution is a meta-challenge for all statistical learnin...
research
∙
12/06/2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Despite great strides made on fine-grained visual classification (FGVC),...
research
∙
12/06/2021
Making a Bird AI Expert Work for You and Me
As powerful as fine-grained visual classification (FGVC) is, responding ...
research
∙
01/31/2021
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Fine-grained visual classification is a challenging task that recognizes...
research
∙
12/21/2020
Knowledge Transfer Based Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to distinguish the sub-cl...
research
∙
03/08/2020
