Memory Footprint Reduction
Memory Footprint Reduction is a performance optimization technique in augmented reality that minimizes the amount of RAM and storage occupied by 3D assets through structural simplification, data compression, and efficient resource management to enhance runtime efficiency on memory-constrained devices.
1.2K
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96.7K
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4.4K
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1K
Institutions
Publications per year
2017–2026
688
1.2K
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu, Jianguo Li, Zhiqiang Shen et al. · 2017 · 2.6K citations
DaDianNao: A Machine-Learning Supercomputer
Yunji Chen, Tao Luo, Shaoli Liu et al. · 2014 · 1.5K citations
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu, Xinjiang Wang, Zhanghan Ke et al. · 2023 · 1K citations
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ETH Zurich
Zurich, Switzerland
23 h-index
113 publications
14K citations
Google (United States)
Mountain View, United States
21 h-index
82 publications
9.8K citations

Centre National de la Recherche Scientifique
Paris, France
19 h-index
62 publications
2.2K citations
University of California, Berkeley
Berkeley, United States
18 h-index
59 publications
5.5K citations
Carnegie Mellon University
Pittsburgh, United States
17 h-index
44 publications
2.8K citations
Georgia Institute of Technology
Atlanta, United States
17 h-index
52 publications
3.4K citations
Intel (United States)
Santa Clara, United States
17 h-index
43 publications
2.8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
17 h-index
48 publications
6.1K citations
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Repository · 151 publications · 9.9K citations
47
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PVLDB · 21 publications · 1K citations
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TOG · 16 publications · 1K citations
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14 publications · 481 citations
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13 publications · 479 citations
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