Small-Object Sensitive Segmentation Using Across Feature Map Attention

Semantic segmentation is an important step in understanding the scene for many practical applications such as autonomous driving. Although Deep Convolutional Neural Networks-based methods have significantly improved segmentation accuracy, small/thin objects remain challenging to segment due to convo...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2023-05, Vol.45 (5), p.6289-6306
Hauptverfasser:	Sang, Shengtian, Zhou, Yuyin, Islam, Md Tauhidul, Xing, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	across feature map attention Adaptation models Artificial neural networks Automobiles Convolution Decoding Feature maps Image resolution Image segmentation Object segmentation Semantic segmentation Small-object semantic segmentation Training
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