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Bilateral network with rich semantic extractor for real-time semantic segmentation
Recently, owing to the requirements of inference speed, most real-time semantic segmentation networks often have shallow network depth, which limits...
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Bird’s-Eye View Semantic Segmentation and Voxel Semantic Segmentation Based on Frustum Voxel Modeling and Monocular Camera
The semantic segmentation of a bird’s-eye view (BEV) is crucial for environment perception in autonomous driving, which includes the static elements...
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Enhanced multi-scale networks for semantic segmentation
Multi-scale representation provides an effective answer to the scale variation of objects and entities in semantic segmentation. The ability to...
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Semantic segmentation of textured mosaics
This paper investigates deep learning (DL)-based semantic segmentation of textured mosaics. Existing popular datasets for mosaic texture...
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An improved DeepLabv3+ lightweight network for remote-sensing image semantic segmentation
To improve the accuracy of remote-sensing image semantic segmentation in complex scenario, an improved DeepLabv3+ lightweight neural network is...
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Compact interactive dual-branch network for real-time semantic segmentation
The traditional complete dual-branch structure is effective for semantic segmentation tasks. However, it is redundant in some sense. Moreover, the...
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TCNet: tensor and covariance attention network for semantic segmentation
Non-local network provides a pioneering approach for capturing long-range dependency by aggregating query-specific global context into each query...
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Rgb-t semantic segmentation based on cross-operational fusion attention in autonomous driving scenario
In recent years, semantic segmentation has become a key technology for autonomous driving. However, owing to the complexity of the driving...
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Learning graph structures with transformer for weakly supervised semantic segmentation
Weakly supervised semantic segmentation (WSSS) is a challenging task of computer vision. The state-of-the-art semantic segmentation methods are...
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Nested attention network based on category contexts learning for semantic segmentation
The attention mechanism is widely used in the field of semantic segmentation, due to the fact that it can be used to obtain effective long-distance...
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Long and short-range relevance context network for semantic segmentation
The semantic information can ensure better pixel classification, and the spatial information of the low-level feature map can ensure the detailed...
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Complex background segmentation for noncontact cable vibration frequency estimation using semantic segmentation and complexity pursuit algorithm
This paper proposes a new complex background segmentation method based on the modified fully convolutional network semantic segmentation for...
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Semantic segmentation-based skin cancer detection
Melanoma detection requires dermoscopy image segmentation, one of the medical image segmentation domains. Melanoma, the most dangerous form of skin...
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An improved deep network-based RGB-D semantic segmentation method for indoor scenes
Semantic segmentation is a hot research issue in the field of image processing. The introduction of depth images improves the effect of semantic...
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Distance estimation with semantic segmentation and edge detection of surround view images
This paper presents a method for obtaining 2D distance data through a robot’s surround view camera system. By converting semantic segmentation images...
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Mutually reinforcing non-local neural networks for semantic segmentation
The ability to capture pixels' long-distance interdependence is beneficial to semantic segmentation. In addition, semantic segmentation requires the...
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Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning
Semantic segmentation of high-resolution remote sensing images has emerged as one of the foci of research in the remote sensing field, which can...
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A mechanical assembly monitoring method based on domain adaptive semantic segmentation
Image segmentation can be used to monitor some unconventional operations to ensure the quality of the assembled product in the product assembly...
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ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation
Real-time semantic segmentation, laying the foundation of mobile robots and autonomous driving, has attracted much attention in recent years....
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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation
An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trends and geometries of cracks on tunnel linings at...