Results 21 to 30 of about 1,037,857 (302)

Deep semantic segmentation of unmanned aerial vehicle remote sensing images based on fully convolutional neural network

Frontiers in Earth Science, 2023
In the era of artificial intelligence and big data, semantic segmentation of images plays a vital role in various fields, such as people’s livelihoods and the military.
Guoxun Zheng, Guoxun Zheng, Guoxun Zheng, Zhengang Jiang, Hua Zhang, Hua Zhang, Hua Zhang, Xuekun Yao, Xuekun Yao   +8 more
doaj   +1 more source

Boosting Semantic Segmentation with Semantic Boundaries

CoRR, 2023
28 pages, Code available at https://github.com/haruishi43 ...
Haruya Ishikawa, Yoshimitsu Aoki
openaire   +3 more sources

Panoptic segmentation with highly imbalanced semantic labels [PDF]

, 2022
We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022.
Baumann, E., Kainmueller, D., Dagmar Kainmueller, Zlobec, Inti, Josef Lorenz Rumberger, Kainmueller, Dagmar, Zlobec, I., Inti Zlobec, Hirsch, P., Hirsch, Peter, Janowczyk, A., Elias Baumann, Janowczyk, Andrew, Rumberger, J.L., Rumberger, Josef Lorenz, Peter Hirsch, Baumann, Elias   +16 more
core   +1 more source

A Performance Improvement Strategy for Concrete Damage Detection Using Stacking Ensemble Learning of Multiple Semantic Segmentation Networks

Sensors, 2022
Semantic segmentation network-based methods can detect concrete damage at the pixel level. However, the performance of a single semantic segmentation network is often limited.
Shengyuan Li, Xuefeng Zhao
doaj   +1 more source

3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation [PDF]

, 2023
Brain tumour diagnosis is a challenging task yet crucial for planning treatments to stop or slow the growth of a tumour. In the last decade, there has been a dramatic increase in the use of convolutional neural networks (CNN) for their high performance ...
Bonmati Coll, E., Psarrou, A., Villarini, B., El Badaoui, R.   +3 more
core   +1 more source

Semantic Amodal Segmentation [PDF]

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
major update including new COCO data, metrics, and ...
Yan Zhu 0009, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár   +3 more
openaire   +3 more sources

Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation

IEEE Access, 2023
Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these approaches adopt a pretrained backbone and finetune it for semantic segmentation,
Zhengyu Xia, Joohee Kim
doaj   +1 more source

Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving

IEEE Access, 2023
Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two tasks, the joint development of object detection and semantic segmentation ...
Shakhboz Abdigapporov, Shokhrukh Miraliev, Vijay Kakani, Hakil Kim   +3 more
doaj   +1 more source

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving [PDF]

, 2023
Deep learning networks have demonstrated outstanding performance in 2D and 3D vision tasks. However, recent research demonstrated that these networks result in failures when imperceptible perturbations are added to the input known as adversarial attacks.
Perera, Asanka, Asanka Perera, Garratt, Matt, Sreenatha Anavatti, Matt Garratt, Anavatti, Sreenatha, Mahima, K. T. Yasas, K. T. Yasas Mahima   +7 more
core   +1 more source

Incremental Learning Techniques for Part-Based Semantic Segmentation [PDF]

, 2022
In this work we use an Incremental Learning approach to try to develop a model for the Part-Based Semantic Segmentation. Our framework uses two networks where the second one is fed with the output of the first.
Rossi, Luca
core