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141
Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling
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142
Groups of Gamers: Market Segmentation of Brazilian Electronic Gamers
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143
Evaluation of Rapeseed Leave Segmentation Accuracy Using Binocular Stereo Vision 3D Point Clouds
Published 2025-01-01Subjects: Get full text
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144
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145
LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11
Published 2025-01-01Subjects: Get full text
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146
Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset
Published 2024-03-01Subjects: Get full text
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147
MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection
Published 2025-02-01Subjects: Get full text
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148
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149
A New Construction Method for Rectangular Cartograms
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150
Unmanned aerial vehicle aerial image stitching method based on superpixel segmentation
Published 2025-02-01Subjects: “…Superpixel segmentation…”
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151
Multiscale Adaptively Spatial Feature Fusion Network for Spacecraft Component Recognition
Published 2025-01-01Subjects: Get full text
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152
Fully automated segmentation and classification of renal tumors on CT scans via machine learning
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153
Non-target feature filtering for weakly supervised semantic segmentation
Published 2024-12-01Subjects: “…Semantic segmentation…”
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154
How to Measure Leaf Disease Damage Using Image Analysis in ImageJ
Published 2020-09-01Subjects: Get full text
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155
Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers
Published 2025-02-01Subjects: Get full text
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156
Innovative segmentation technique for aerial power lines via amplitude stretching transform
Published 2025-01-01Subjects: Get full text
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157
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer
Published 2025-01-01Subjects: “…medical image segmentation…”
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158
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159
MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions
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160
Combined application of hierarchical and non-hierarchical clustering methods in order to segment the customers in one trade chain
Published 2019-01-01Subjects: Get full text
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