Results 31 to 40 of about 147,704 (285)
An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching
Sensors, 2023 The inverse synthetic aperture radar (ISAR) image is a kind of target feature data acquired by radar for moving targets, which can reflect the shape, structure, and motion information of the target, and has attracted a great deal of attention from the ...
Xinli Zhu +4 more
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Single-Stage Semantic Segmentation From Image Labels [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Recent years have seen a rapid growth in new approaches improving the accuracy of semantic segmentation in a weakly supervised setting, i.e. with only image-level labels available for training. However, this has come at the cost of increased model complexity and sophisticated multi-stage training procedures.
Araslanov, Nikita, Roth, Stefan
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Double Similarity Distillation for Semantic Image Segmentation [PDF]
IEEE Transactions on Image Processing, 2021 The balance between high accuracy and high speed has always been a challenging task in semantic image segmentation. Compact segmentation networks are more widely used in the case of limited resources, while their performances are constrained. In this paper, motivated by the residual learning and global aggregation, we propose a simple yet general and ...
Yingchao Feng +4 more
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Image semantic segmentation method based on GAN network and ENet model
The Journal of Engineering, 2021 Currently, image semantic segmentation has problems such as low accuracy and long running time. This paper proposes an image semantic segmentation method based on generative adversarial network and ENet model combined with deep neural network.
Huiyi Li
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Joint Learning of Intrinsic Images and Semantic Segmentation [PDF]
, 2018 Semantic segmentation of outdoor scenes is problematic when there are variations in imaging conditions. It is known that albedo (reflectance) is invariant to all kinds of illumination effects. Thus, using reflectance images for semantic segmentation task
A Garcia-Garcia +13 more
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Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [PDF]
Jisuanji kexue, 2022 The application of deep learning in the field of image semantic segmentation has greatly improved the accuracy of segmentation,but due to the limitations of speed and memory,these models can not be directly applied to embedded devices for real-time ...
CHENG Cheng, JIANG Ai-lian
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SEAN: Image Synthesis with Semantic Region-Adaptive Normalization [PDF]
, 2020 We propose semantic region-adaptive normalization (SEAN), a simple but effective building block for Generative Adversarial Networks conditioned on segmentation masks that describe the semantic regions in the desired output image. Using SEAN normalization,
Abdal, Rameen +3 more
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WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
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ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation [PDF]
, 2016 We propose a structured prediction architecture, which exploits the local generic features extracted by Convolutional Neural Networks and the capacity of Recurrent Neural Networks (RNN) to retrieve distant dependencies.
Bengio, Yoshua +7 more
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Graph-FCN for Image Semantic Segmentation [PDF]
, 2019 Semantic segmentation with deep learning has achieved great progress in classifying the pixels in the image. However, the local location information is usually ignored in the high-level feature extraction by the deep learning, which is important for image semantic segmentation.
Lu, Yi +3 more
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