Meet Eff-3DPSeg: A Deep Learning Framework for Organ-Level 3D Plant Shoot Segmentation
Deep learning is currently being used in various fields. It is also used in plants for various purposes. 3D plant ...
Tag: Segmentation
Researchers from Kyung Hee University and Nota present MobileSAMv2: a breakthrough in fast and efficient image segmentation
Fundamental or fundamental models of vision are used in computer vision tasks. These models serve as building blocks or initial ...
Basel University Hospital presents TotalSegmentator: a deep learning segmentation model that can automatically segment important anatomical structures in body CT images
The number of CT scans performed and the data processing capacity available have increased in recent years. Thanks to advances ...
New AI research from Fujitsu improves weakly supervised action segmentation for human-robot interaction with Action-Union learning
Recent advances in the field of human action recognition have enabled some amazing advances in human-robot interaction (HRI). With this ...
Customer Segmentation in Python: A Practical Approach
Image by Author | Created Using Excalidraw and Flaticon Customer segmentation can help businesses tailor their marketing efforts and ...
Breaking boundaries in 3D instance segmentation: An open-world approach with improved pseudo-labeling and realistic scenarios
By providing object instance-level classification and semantic labeling, 3D semantic instance segmentation attempts to identify elements in a given 3D ...
Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities
This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet ...
Master Customer Segmentation with LLM
This is the most common method and the one you will surely know. Anyway, let's study it because I will ...
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