Semantic segmentation of the avascular zone of the fovea in optical coherence tomography angiography: evaluation of techniques and applications in ocular diseases. [PDF]
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A Large Kernel Convolutional Neural Network with a Noise Transfer Mechanism for Real-Time Semantic Segmentation. [PDF]
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An Improved HRNetV2-Based Semantic Segmentation Algorithm for Pipe Corrosion Detection in Smart City Drainage Networks. [PDF]
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KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images. [PDF]
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Efficient compression of encoder-decoder models for semantic segmentation using the separation index. [PDF]
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Robust Infrared-Visible Fusion Imaging with Decoupled Semantic Segmentation Network. [PDF]
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Averse Deep Semantic Segmentation
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019Semantic segmentation consists in predicting whether any given pixel is part of the object of interest or not. Two types of errors are therefore possible: false positives and false negatives. For visualization and emphasis purposes, we might want to put special effort into reducing one type of error in detriment of the other.
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Semantic Segmentation without Annotating Segments
2013 IEEE International Conference on Computer Vision, 2013Numerous existing object segmentation frameworks commonly utilize the object bounding box as a prior. In this paper, we address semantic segmentation assuming that object bounding boxes are provided by object detectors, but no training data with annotated segments are available.
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