Multi-View Active Fine-Grained Visual Recognition
Despite the remarkable progress of Fine-grained visual classification (FGVC) with years of
history, it is still limited to recognizing 2 images. Recognizing objects in the physical world …
history, it is still limited to recognizing 2 images. Recognizing objects in the physical world …
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
In the realm of practical fine-grained visual classification applications rooted in deep
learning a common scenario involves training a model using a pre-existing dataset …
learning a common scenario involves training a model using a pre-existing dataset …
Hierarchical Visual Attribute Learning in the Wild
Observing objects' attributes at different levels of detail is a fundamental aspect of how
humans perceive and understand the world around them. Existing studies focused on …
humans perceive and understand the world around them. Existing studies focused on …
Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification
M Fu, Y Zheng, D Chang, W Li… - 2023 Asia Pacific Signal …, 2023 - ieeexplore.ieee.org
Multi-granularity visual classification is a challenging task derived from traditional image
recognition. Previous methods commonly use the features from the final convolutional layer …
recognition. Previous methods commonly use the features from the final convolutional layer …