2021
DOI: 10.1007/978-3-030-88010-1_24
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Light-Weight Multi-channel Aggregation Network for Image Super-Resolution

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Cited by 6 publications
(2 citation statements)
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“…CSART [39] effectively improves tracking accuracy without adding much calculation and memory by considering different types of self-attention in two dimensions. In addition to segmentation, attention mechanisms are also extensively applied in various other fields [40,41,42].…”
Section: Real-time Semantic Segmentationmentioning
confidence: 99%
“…CSART [39] effectively improves tracking accuracy without adding much calculation and memory by considering different types of self-attention in two dimensions. In addition to segmentation, attention mechanisms are also extensively applied in various other fields [40,41,42].…”
Section: Real-time Semantic Segmentationmentioning
confidence: 99%
“…CSART [39] effectively improves tracking accuracy without adding much calculation and memory by considering different types of self-attention in two dimensions. In addition to segmentation, attention mechanisms are also extensively applied in various other fields [40,41,42].…”
Section: Real-time Semantic Segmentationmentioning
confidence: 99%