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MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2020) · cited 51× · AI/ML
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MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

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MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation is a scholarly article[1].

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  • MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation's instance of is recorded as scholarly article[2].

Related Entities

Guoping Qiu

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/mininet-an-extremely-lightweight-convolutional-neural-network-for-real-time-unsupervised-monocular-depth-estimation
MLA “MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mininet-an-extremely-lightweight-convolutional-neural-network-for-real-time-unsupervised-monocular-depth-estimation.
BibTeX @misc{4ortxyz_mininet-an-extremely-lightweight-convolutional-neural-network-for-real-time-unsupervised-monocular-depth-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation}}, year = {2026}, url = {https://4ort.xyz/entity/mininet-an-extremely-lightweight-convolutional-neural-network-for-real-time-unsupervised-monocular-depth-estimation}, note = {Accessed: 2026-05-24}}
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