atrous
English
Pronunciation
- IPA(key): /ˈeɪtɹəs/
Adjective
atrous (comparative more atrous, superlative most atrous)
- jet-black in color.
- 1830, Jonathan Stokes, Botanical Commentaries- Volume 1:
- Male atrous leadcolourd[sic] on the upper side, under side a mixture of whitish and ferruginous with cuspidate fasciae ;
- 1917, Proceedings of the Linnean Society of New South Wales:
- Head atrous, viridescent on lateral frontal spaces and occiput, gulae, basal part of mentum on each side of median tooth brightly viridescent; prothorax atrous, with viridescent tints on disc and wide brassy-green basal and lateral margins.
- 1968, Iconographia Mycologica - Issues 22-27:
- Perithecia sparse, innate, then erumpent for apical portion, subglobose, atrous, with ostiollar portion a little enlarged.
- 2013, DB Angel, The Gift, page 13:
- An imposing portrait of a Caucasian male holding an atrous book with a sheepish smile hung ominously over the bed.
- 2014, Mark Alan Lindsley, Future Earth, page 405:
- The throng shouted, female Eligor flung flowers from the roofs as the rhythmic chiming of iron-shod riding beasts came clearer, and the first of the mighty array swung into view in the broad, atrous streets that curved round the spired Grand Union of Imperial Opal.
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Pronunciation
- IPA(key): /əˈtruː/
Adjective
atrous (not comparable)
- (computing, rare) dilated (used when describing convolutions)
- Atrous convolution allows us to explicitly control the resolution.
- 2008, Sharon Priya and A. Srinivasan, “Image and Video Denoising by Sparse 3-D Transform Domain Using Atrous and Gabor Wavelets”, in Proceedings Second International Conference on Information Processing, page 87:
- The new approach is executed by using atrous and gabor wavelets that work effectively on image and video.
- 2019, Qi Wang, Learning to Understand Remote Sensing Images, page 158:
- In order to further illustrate the effect of "atrous" convolution, we compare it with standard convolution using a simple example in Figure 4.
- 2019, Guanhong Zhang, Muyi Sun, and Xiaoguang Zhou, “Sub-pixel Upsampling Decode Network for Semantic Segmentation”, in Artificial Intelligence, page 18:
- As the frameworks based on atrous convolution and ASPP module have proved their success, we implement an encoder with similar structure of [5], using a pretrained ResNetV2 as backbone network.
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