Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277204
Abstract: In the real world, large-scale image data sets usually present long-tailed distribution. When traditional visual recognition methods are applied to long-tail image data sets, problems such as model failure and sudden decline in recognition accuracy… read more here.
Keywords: recognition; visual recognition; long tailed; self attention ... See more keywords
Stereo matching using census cost over cross window and segmentation-based disparity refinement
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.2.023014
Abstract: Abstract. Stereo matching is a vital requirement for many applications, such as three-dimensional (3-D) reconstruction, robot navigation, object detection, and industrial measurement. To improve the practicability of stereo matching, a method using census cost over… read more here.
Keywords: segmentation; cost; cross window; stereo matching ... See more keywords