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Visual semantic segmentation based on few/zero-shot learning: An overview
Visual semantic segmentation aims at separating a visual sample into diverse blocks with
specific semantic attributes and identifying the category for each block, and it plays a crucial …
specific semantic attributes and identifying the category for each block, and it plays a crucial …
A systematic literature review on machine learning and deep learning methods for semantic segmentation
Machine learning and deep learning algorithms are widely used in computer science
domains. These algorithms are mostly used for classification and regression problems in …
domains. These algorithms are mostly used for classification and regression problems in …
PIDNet: A real-time semantic segmentation network inspired by PID controllers
J Xu, Z ** for 3d object detection on point clouds
We present a novel two-stage fully sparse convolutional 3D object detection framework,
named CAGroup3D. Our proposed method first generates some high-quality 3D proposals …
named CAGroup3D. Our proposed method first generates some high-quality 3D proposals …
Contextrast: Contextual contrastive learning for semantic segmentation
Despite great improvements in semantic segmentation challenges persist because of the
lack of local/global contexts and the relationship between them. In this paper we propose …
lack of local/global contexts and the relationship between them. In this paper we propose …
Frequency-adaptive dilated convolution for semantic segmentation
Dilated convolution which expands the receptive field by inserting gaps between its
consecutive elements is widely employed in computer vision. In this study we propose three …
consecutive elements is widely employed in computer vision. In this study we propose three …
Pem: Prototype-based efficient maskformer for image segmentation
Recent transformer-based architectures have shown impressive results in the field of image
segmentation. Thanks to their flexibility they obtain outstanding performance in multiple …
segmentation. Thanks to their flexibility they obtain outstanding performance in multiple …
Multiscale location attention network for building and water segmentation of remote sensing image
X Dai, M **a, L Weng, K Hu, H Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traditional building and water segmentation methods are vulnerable to noise interference,
and hence, they could not avoid missed and false detections in the detection process …
and hence, they could not avoid missed and false detections in the detection process …