Different from the basic-level classification, the Fine-Grained Visual Categorization (FGVC) aims to classify objects belonging to the same species. Therefore, ...
A robust and discriminative visual description named Automated Bi-level Description (AutoBD), which only requires the image-level labels of training images ...
Different from the basic-level classification, the Fine-Grained Visual Categorization (FGVC) aims to classify objects belonging to the same species.
Abstract: Different from the basic-level classification, the Fine-Grained Visual Categorization (FGVC) aims to classify objects belonging to the same species.
Yao, Dsp: Discriminative spatial part modeling for fine-grained visual categorization, Image Vis. ... Morariu, L.S. Davis, Learning a discriminative filter bank ...
Fine-grained visual categorization, which aims to identify the different subcategories of images within the same category, is a very challenging task due to the ...
... Discriminative Binary Descriptor ... Tian. Coarse-to-fine description for fine-grained visual categorization ... Zhou, Q. Huang, and W. Gao. Modeling spatial and ...
I tried to condense the (main) contributions (or the used methodology) from each paper into a line or two to observe trends across years.
Missing: DSP: | Show results with:DSP:
Apr 6, 2024 · Based on the generated bounding boxes, we employ a multiple-layer Orientational Spatial Part (OSP) model to learn local parts for the object. To ...
representations by localizing discriminative part regions. ... Zhang, “Dsp: Dis- criminative spatial part modeling for fine-grained visual categorization,”.