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DWDM: Dynamically Weighted Three-Domain Mixing for Domain-Adaptive Semantic Segmentation
In unsupervised domain adaptation (UDA), the aim is to adapt a model trained on source data to target data without having access to target...
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Semantic Segmentation of Road Scene Using Deep Learning
The semantic segmentation task is the process of predicting each pixel in the image to some class. Classes could be road, person, car, tree, etc....
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Pyramid Bayesian Method for Model Uncertainty Evaluation of Semantic Segmentation in Autonomous Driving
With the fast-develo** deep learning models in the field of autonomous driving, the research on the uncertainty estimation of deep learning models...
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Image Semantic Segmentation: Scene-Aware System for Autonomous Vehicle
Understanding urban street scenes is an essential part of the perceptual job involved in the use of autonomous vehicles. The interpretation of scenes...
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High Resolution Remote Sensing Image Segmentation Method with Improved DeepLabv3+
In order to address the challenges associated with poor semantic segmentation results of classical semantic segmentation networks in high-resolution...
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Camera and LiDAR Fusion for Point Cloud Semantic Segmentation
Perception is a fundamental component of any autonomous driving system. Semantic segmentation is the perception task of assigning semantic class...
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Recent Advances in Semantic Segmentation for Sports Analytics
Recent advances on deep learning has enabled significant progress in the field of Sports Analysis. Semantic segmentation is a technique that involves...
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Deep semantic learning for acoustic scene classification
Acoustic scene classification (ASC) is the process of identifying the acoustic environment or scene from which an audio signal is recorded. In this...
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APFNet: Attention Pyramidal Fusion Network for Semantic Segmentation
This paper proposes a novel method for multi-spectral semantic segmentation of urban scenes based on an Attention Pyramidal Fusion Network (APFNet)...
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Semantic Segmentation Based Crowd Tracking and Anomaly Detection via Neuro-fuzzy Classifier in Smart Surveillance System
Crowd tracking and analysis of crowd behavior is a challenging research area in computer vision. In today’s crowded environment manual surveillance...
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Segmentation of ethnic clothing patterns with fusion of multiple attention mechanisms
To address the challenges posed by diverse pattern-background elements, intricate details, and complex textures in the semantic segmentation of...
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Cardiac MRI Semantic Segmentation for Ventricles and Myocardium Using Deep Learning
Automated noninvasive medical diagnosis of the heart is necessary for early detection of cardiac disorders and cost-effective management. Automated...
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End-to-end dilated convolution network for document image semantic segmentation
Semantic segmentation is a crucial step for document understanding. In this paper, an NVIDIA Jetson Nano-based platform is applied for implementing...
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Blsnet: a tri-branch lightweight network for gesture segmentation against cluttered backgrounds
Hand gesture segmentation is an essential step to recognize hand gestures for human–robot interaction. However, complex backgrounds and the variety...
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Improved Weakly Supervised Image Semantic Segmentation Method Based on SEC
The study of weakly supervised image semantic segmentation based on weak supervision is received increasing attention. The segmentation algorithm...
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Light U-Net: Network Architecture for Outdoor Scene Semantic Segmentation
We present a novel and efficient semantic segmentation architecture termed Light U-Net in this paper. Light U-Net is less complex with regard to the...
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Glomerulus Semantic Segmentation Using Ensemble of Deep Learning Models
Quantification and classification of tissue features such as glomerulus are important elements of the histopathologic assessment of renal tissue. To...
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Heuristic Semantic Segmentation Using the Weights of Local Voxel Structure
In recent years, with the rise of autonomous driving, more and more researchers focus on the field of point cloud semantic segmentation. They have...
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Semantic Segmentation-Based Building Extraction in Urban Area Using Memory-Efficient Residual Dilated Convolutional Network
The satellite images have been employed in building extraction to aid urban planning, tax assessment, disaster management, etc. The number of...
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Lightweight Encoder-Decoder Model for Semantic Segmentation of Hand Postures
Hand gesture recognition (HGR) is becoming more important in human-computer interaction as people’s expectations for interactive experiences rise. It...