Benchmark Dataset Evaluation
Benchmark Dataset Evaluation is a systematic assessment method that, as a paper-level contribution within Tutoring System Evaluation, employs standardized datasets to measure and compare the performance of educational models or algorithms against established baselines.
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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
Image Super-Resolution via Deep Recursive Residual Network
Ying Tai, Jian Yang, Xiaoming Liu · 2017 · 2.5K citations
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Chinese Academy of Sciences
Beijing, China
37 h-index
152 publications
20.5K citations
Tsinghua University
Beijing, China
31 h-index
153 publications
10.5K citations
University of Chinese Academy of Sciences
Beijing, China
27 h-index
101 publications
12.9K citations
Nanyang Technological University
Singapore, Singapore
25 h-index
78 publications
4.9K citations

Shanghai Jiao Tong University
Shanghai, China
24 h-index
105 publications
8.3K citations

Harbin Institute of Technology
Harbin, China
24 h-index
111 publications
12.5K citations

Peking University
Beijing, China
24 h-index
111 publications
7.9K citations
Carnegie Mellon University
Pittsburgh, United States
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55 publications
8.2K citations
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Repository · 254 publications · 11.3K citations
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54 publications · 3.1K citations
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Conference · 40 publications · 3.2K citations
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TPAMI · 26 publications · 4.5K citations
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