Results 121 to 130 of about 44,036 (168)

Few-shot cross-episode adaptive memory for metal surface defect semantic segmentation. [PDF]

Sci Rep
Zhang J, Ding H, Peng M, Tu S, Chen G, Liu Y.   +5 more
europepmc   +1 more source

Wavelet-CNet: Wavelet Cross Fusion and Detail Enhancement Network for RGB-Thermal Semantic Segmentation. [PDF]

Sensors (Basel)
Zhang W, Zhang Q, Yan Y.
europepmc   +1 more source

Dual-Branch Superpixel and Class-Center Attention Network for Efficient Semantic Segmentation. [PDF]

Sensors (Basel)
Zhang Y, Yu H, Wang H, Zhou M, Zhang T, Chen YC.   +5 more
europepmc   +1 more source

Large language model-driven knowledge graph reasoning for enhanced semantic segmentation. [PDF]

Sci Rep
Su J, Zhang X, Luo Y, Chen Y, Li J, Chen S, Xu H.   +6 more
europepmc   +1 more source

Species habitat modeling based on image semantic segmentation. [PDF]

Sci Rep
Wang L, Tan H, Luo P, Meng L, Fei T.
europepmc   +1 more source

Defect-Mask2Former: An Improved Semantic Segmentation Model for Precise Small-Sized Defect Detection on Large-Sized Timbers. [PDF]

Sensors (Basel)
Qin M, Li H, Huang Y, Tong X, Liang Z.
europepmc   +1 more source

Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]

Sci Rep
Tibermacine A, Tibermacine IE, Akrour D, Rabehi A, Habib M.   +4 more
europepmc   +1 more source

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Semantic soft segmentation

ACM Transactions on Graphics, 2018
Accurate representation of soft transitions between image regions is essential for high-quality image editing and compositing. Current techniques for generating such representations depend heavily on interaction by a skilled visual artist, as creating such accurate object selections is a tedious task. In this work, we introduce
Yagiz Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik   +4 more
openaire   +3 more sources

Geo-semantic segmentation

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
The availability of GIS (Geographical Information System) databases for many urban areas, provides a valuable source of information for improving the performance of many computer vision tasks. In this paper, we propose a method which leverages information acquired from GIS databases to perform semantic segmentation of the image alongside with geo ...
Shervin Ardeshir, Kofi Malcolm Collins-Sibley, Mubarak Shah   +2 more
openaire   +2 more sources