Results 11 to 20 of about 58,990 (298)

Large-Scale Unsupervised Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Benchmark and Source Code: https://github.com ...
Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip Torr   +5 more
openaire   +4 more sources

A Novel Semantic Segmentation Algorithm for RGB-D Images Based on Non-Symmetry and Anti-Packing Pattern Representation Model

IEEE Access, 2023
With the rapid development of deep learning technology, the accuracy of image semantic segmentation tasks has been greatly improved. However, indoor RGB-D semantic segmentation remains a challenging problem because of the complexity of indoor ...
Yunping Zheng, Yuan Xu, Shengjie Qiu, Wenqiang Li, Guichuang Zhong, Mudar Sarem   +5 more
doaj   +1 more source

Progressive Semantic Segmentation [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Accepted to CVPR ...
Huynh, Chuong, Tran, Anh, Luu, Khoa, Hoai, Minh   +3 more
openaire   +2 more sources

Detail Guided Multilateral Segmentation Network for Real-Time Semantic Segmentation

Applied Sciences, 2022
With the development of unmanned vehicles and other technologies, the technical demand for scene semantic segmentation is more and more intense.
Qunyan Jiang, Juying Dai, Ting Rui, Faming Shao, Ruizhe Hu, Yinan Du, Heng Zhang   +6 more
doaj   +1 more source

Latent space unsupervised semantic segmentation

Frontiers in Physiology, 2023
The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform meaningful unsupervised data segmentation is an auspicious target.
Knut J. Strommen, Jim Tørresen, Jim Tørresen, Ulysse Côté-Allard, Ulysse Côté-Allard   +4 more
openaire   +4 more sources

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

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

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

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

Indoor Scene Understanding Based on Depth-Aware Feature Extraction [PDF]

Jisuanji gongcheng, 2021
The semantic segmentation for indoor scenes can be improved by the joint learning of RGB image features and 3D geometric information from RGB-D domain.However, the traditional segmentation methods require precise depth maps as the inputs, which seriously
CHEN Suting, ZHANG Liangchen
doaj   +1 more source