… We introduce a spatio-temporal prior to help disambiguate fine-grained categories
resulting in improved test time image classification performance. In addition to helping image …

… the worst IoU, since compared with pixel-level instance segmentation methods, this
clipping patch based classification method cannot identify urban village boundaries in a fine-grained …

… For example, the description of the street space requires fine-grained data on buildings,
which cannot be obtained using common geodatabases. The dominant method for auditing …

… The best-fit model is then applied to pixels to obtain a fine-grained estimation of the human
… parking areas to protect their cars from extreme sunlight. Thirdly, cars detected on the road …

… fine-grained income estimation study estimates income at the district-level of a city. Estimating
… Fei-Fei, "Fine-grained car detection for visual census estimation," in 31st AAAI Conference …

… The fine-grained population map produced in this study was based on the county-level
demographic data. A finer-level population demographic dataset was needed to evaluate its …

… -class variance in fine-grained images of commodities like airplanes and cars is due to changes
in … Fei-Fei, “Finegrained car detection for visual census estimation,” 2017. [56] S. Hou, Y. …

… over large areas for fine-grained studies. … vehicles detection for the municipality of Rotterdam
(left) and Amsterdam (right). Values shown correspond to the average number of vehicles …

… A large-scale car dataset for fine-grained categorization and verification. In CVPR, pages
3973… Fine-grained car detection for visual census estimation. In AAAI, pages 4502–4508. 3 [39] …

… audiovisual fine-grained categorization. While our community has made great strides in
fine-grained visual categorization on images, the counterparts in audio and video fine-grained …