Hierarchical Context Network for Airborne Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3133258
Abstract: Most of the recent methods focus on capturing contextual information by measuring relations (e.g., feature similarity) between each pixel and all the others for airborne image segmentation. Nevertheless, these methods have difficulty in handling confusing… read more here.
Keywords: context network; image segmentation; airborne image; segmentation ... See more keywords
IDC-Net: integrated dynamic context network for underwater image enhancement
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.33.5.053027
Abstract: Abstract. Convolutional neural networks (CNNs) can use larger convolutional kernels to provide a wide receptive field, achieving long-distance context processing similar to that of transformers with fewer model parameters. However, the complex and dynamic degradation… read more here.
Keywords: context network; idc net; multi scale; integrated dynamic ... See more keywords