Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zaveri, Ram J."'
Microscopy data collections are becoming larger and more frequent. Accurate and precise quantitative analysis tools like cell instance segmentation are necessary to benefit from them. This is challenging due to the variability in the data, which requ
Externí odkaz:
http://arxiv.org/abs/2402.17165
Autor:
Keaton, Matthew R., Zaveri, Ram J., Kovur, Meghana, Henderson, Cole, Adjeroh, Donald A., Doretto, Gianfranco
Plant species identification in the wild is a difficult problem in part due to the high variability of the input data, but also because of complications induced by the long-tail effects of the datasets distribution. Inspired by the most recent fine-g
Externí odkaz:
http://arxiv.org/abs/2106.02141
Autor:
Keaton MR; West Virginia University, Morgantown, WV 26506., Zaveri RJ; West Virginia University, Morgantown, WV 26506., Doretto G; West Virginia University, Morgantown, WV 26506.
Publikováno v:
IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision [IEEE Winter Conf Appl Comput Vis] 2023 Jan; Vol. 2023, pp. 455-466. Date of Electronic Publication: 2023 Feb 06.
