Zobrazeno 1 - 3
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pro vyhledávání: '"Atmadeep Banerjee"'
Autor:
Atmadeep Banerjee
Publikováno v:
COMAD/CODS
Modern deep neural networks perform well on a variety of tasks where a large amount of training data is available, but in low data settings, humans still outperform neural networks significantly. An important reason for this is the ability to reuse k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b773112bf5cd49c9e6086e1b677d7a9
https://doi.org/10.1145/3430984.3431054
https://doi.org/10.1145/3430984.3431054
Autor:
Atmadeep Banerjee
Publikováno v:
2020 IEEE 17th India Council International Conference (INDICON).
Modern deep learning models have revolutionized the field of computer vision. But, a significant drawback of most of these models is that they require a large number of labelled examples to generalize properly. Recent developments in few-shot learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a15ff91b54d10d3376e938b692ed292
https://doi.org/10.1109/indicon49873.2020.9342070
https://doi.org/10.1109/indicon49873.2020.9342070
Autor:
Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu ZHU, Junhui HOU, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K Uma, D Synthiya Vinothini, B Sathya Bama, S M Md Mansoor Roomi
Publikováno v:
CVPR Workshops
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole- scene hyperspectral (HS) information from a 3-channel RGB image. As in the previous challenge, two tracks were provided: (i) a "Clean" tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e50ad478df948cdbebb174500d1606c8
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
