Results 11 to 20 of about 987,911 (296)
Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj, Cavallaro Andrea
doaj +2 more sources
Domain Adaptive Semantic Segmentation without Source Data [PDF]
, 2021 Domain adaptive semantic segmentation is recognized as a promising technique to alleviate the domain shift between the labeled source domain and the unlabeled target domain in many real-world applications, such as automatic pilot.
Chen, Zhi +9 more
core +1 more source
Generative Semantic Segmentation
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 To appear at CVPR2023, code at http://github.com/fudan-zvg ...
Jiaqi Chen +3 more
openaire +5 more sources
Patch-based semantic labelling of images. [PDF]
, 2010 PhDThe work presented in this thesis is focused at associating a semantics to the content of an image, linking the content to high level semantic categories. The process can take place at two levels: either at image level, towards image categorisation,
Passino, Giuseppe
core +4 more sources
2D Semantic Segmentation: Recent Developments and Future Directions
Future Internet, 2023 Semantic segmentation is a critical task in computer vision that aims to assign each pixel in an image a corresponding label on the basis of its semantic content.
Yu Guo +3 more
doaj +1 more source
YUTO SEMANTIC: A LARGE SCALE AERIAL LIDAR DATASET FOR SEMANTIC SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Creating virtual duplicates of the real world has garnered significant attention due to its applications in areas such as autonomous driving, urban planning, and urban mapping.
S. Yoo, C. Ko, G. Sohn, H. Lee
doaj +1 more source
Real-time semantic clothing segmentation [PDF]
, 2012 Clothing segmentation is a challenging field of research which is rapidly gaining attention. This paper presents a system for semantic segmentation of primarily monochromatic clothing and printed/stitched textures in single images or live video.
Cushen, George, Nixon, Mark S.
core +2 more sources
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 +5 more
doaj +1 more source
A TWO-STAGE APPROACH FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Although deep learning has greatly improved the semantic segmentation accuracy of point clouds, the segmentation of rare classes in large-scale urban scenes has not been targeted in available methods.
X. Zhang, R. Xue, R. Xue, U. Soergel
doaj +1 more source
Introspective semantic segmentation [PDF]
IEEE Winter Conference on Applications of Computer Vision, 2014 Traditional approaches for semantic segmentation work in a supervised setting assuming a fixed number of semantic categories and require sufficiently large training sets. The performance of various approaches is often reported in terms of average per pixel class accuracy and global accuracy of the final labeling. When applying the learned models in the
Gautam Singh, Jana Kosecka
openaire +1 more source