EC-CNN uses a gated feature-wise transform to incorporate edge priors for thermal semantic segmentation and introduces the SODA dataset of over 7,000 labeled thermal images.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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cs.CV 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
OGNet proposes an output-guided attention module from multi-scale outputs and an intractable area F-measure loss to enhance salient object detection in edges and confusing areas while remaining lightweight.
citing papers explorer
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Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation
EC-CNN uses a gated feature-wise transform to incorporate edge priors for thermal semantic segmentation and introduces the SODA dataset of over 7,000 labeled thermal images.
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OGNet: Salient Object Detection with Output-guided Attention Module
OGNet proposes an output-guided attention module from multi-scale outputs and an intractable area F-measure loss to enhance salient object detection in edges and confusing areas while remaining lightweight.