Benchmark Dataset Development
Benchmark Dataset Development is a scholarly contribution that constitutes the systematic creation and curation of standardized, representative data collections designed to serve as reference points for evaluating and comparing the performance of computational models or algorithms within the domain of Vegetative Weed Identification.
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2017–2026
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer · 2024 · 4.6K citations · Full text
Philipp Tschandl, Cliff Rosendahl, Harald Kittler · Queensland's institutional digital repository (The University of Queensland) · 2018 · 2.8K citations
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung, Arsha Nagrani, Andrew Zisserman · 2018 · 2.3K citations · Full text
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University of Electronic Science and Technology of China, China
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Chinese Academy of Sciences
Beijing, China
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Tsinghua University
Beijing, China
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107 publications
6.9K citations
The Gordon Life Science Institute
Boston, United States
25 h-index
49 publications
9.3K citations

Harbin Institute of Technology
Harbin, China
25 h-index
95 publications
10.5K citations

University of Electronic Science and Technology of China
Chengdu, China
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87 publications
8.1K citations

Shanghai Jiao Tong University
Shanghai, China
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83 publications
8.1K citations
Nanyang Technological University
Singapore, Singapore
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Peking University
Beijing, China
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60 publications
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Repository · 144 publications · 5.7K citations
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Conference · 25 publications · 2K citations
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