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Semantic Texton Forests for Image Categorization and Segmentation

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not need the expensive computation of filter-bank responses or local descriptors.
Jamie Shotton   +2 more
openaire   +1 more source

Semantic segmentation of angiographic images

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2002
The overall purpose of this work is to identify objects in an angiographic sequence by exploiting the temporal correlation between adjacent frames for analysis and compression purposes. The detection of the vascular tree in a reference image can support segmentation in adjacent frames by reducing the detection problem to a tracking procedure along the ...
Menegaz, Gloria, Lancini, Rosa
openaire   +2 more sources

Improved methods and analysis for semantic image segmentation

2020
Modernes “deep learning" hat in den letzten Jahren erstaunliche Entwicklungen im Bereich Computer Vision ermöglicht (Hinton and Salakhutdinov, 2006; Krizhevsky et al., 2012). Eine grundlegende Aufgabe der semantischen Segmentierung ist es, labels für jedes Pixel von Bildern vorherzusagen, wodurch die Wahrnehmung der visuellen Welt durch Maschinen ...
openaire   +3 more sources

Semantic Segmentation of Equirectangular Images with UniFuse

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), 2022
Atsushi Yokota, Shigang Li
openaire   +1 more source

Synergy between Semantic Segmentation and Image Denoising via Alternate Boosting

ACM Transactions on Multimedia Computing, Communications and Applications, 2023
Shunxin Xu, Dong Liu, Zhiwei Xiong
exaly  

FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation

IEEE/CAA Journal of Automatica Sinica, 2021
Long Chen, Zihao Ye, Hongyan Guo
exaly  

Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Linshan Wu, Leyuan Fang, Xingxin He
exaly  

Coarse-to-Fine Semantic Segmentation From Image-Level Labels

IEEE Transactions on Image Processing, 2020
Longlong Jing, Yingli Tian
exaly  

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