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Multi-attribute prediction of protein composition and hardness using semantic segmentation for 3D-Printed plant-based meat analogues. [PDF]
Curr Res Food SciKim S +5 more
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Optimized HRNet for image semantic segmentation
Expert Systems With Applications, 2021Abstract With the rapid development of deep learning, image semantic segmentation has made great progress and become a hot topic in scene understanding of computer vision. In this paper, we propose an optimized high-resolution net (HRNet) for image semantic segmentation.
Huisi Wu, Zhenkun Wen
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Multi-modal semantic image segmentation
Computer Vision and Image Understanding, 2021Abstract We propose a modality invariant method to obtain high quality semantic object segmentation of human body parts, for four imaging modalities which consist of visible images, X-ray images, thermal images (heatmaps) and infrared radiation (IR) images. We first consider two modalities (i.e.
Akila Pemasiri +3 more
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Semantic Segmentation on Multi-Spectral Images
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Semantic segmentation is considered to be one of the basic steps in understanding image content. For semantic segmentation, if multi-spectral images are used together with color images, more successful results are obtained due to complementary information obtained from multi-spectral images.
Veysel Aslantas +2 more
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Semantic Segmentation of Radio-Astronomical Images
2021In the context of next-generation radio-astronomical visual surveys, automated object detection and segmentation are necessary tasks to support astrophysics research from observations. Indeed, identifying manually astronomical sources (e.g., galaxies) from the daunting amount of acquired images is largely unfeasible, greatly limiting the huge potential
Carmelo Pino +4 more
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A benchmark for semantic image segmentation
2013 IEEE International Conference on Multimedia and Expo (ICME), 2013Though quite a few image segmentation benchmark datasets have been constructed, there is no suitable benchmark for semantic image segmentation. In this paper, we construct a benchmark for such a purpose, where the ground-truths are generated by leveraging the existing fine granular ground-truths in Berkeley Segmentation Dataset (BSD) as well as using ...
Hui Li +3 more
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Semantic image segmentation for pedestrian detection
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017A typical traffic monitoring system for pedestrian detection uses a stationary camera. In Advanced Driving Assistance Systems (ADAS), the camera is mounted in front of the vehicle's window so that the camera and the object move in any arbitrary direction. Semantic image segmentation is widely used for road scene interpretation.
Adi Nurhadiyatna, Sven Loncaric
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Semantic Segmentation of Fisheye Images
2019Semantic segmentation of fisheye images (e.g., from action-cameras or smartphones) requires different training approaches and data than those of rectilinear images obtained using central projection. The shape of objects is distorted depending on the distance between the principal point and the object position in the image. Therefore, classical semantic
Gregor Blott +2 more
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