Abstract: Panoptic segmentation technology can simultaneously acquire information about objects and background, and thus holds extremely high application value in remote sensing image interpretation.
Given an RGB-D scan and a reconstructed point cloud, MaskClustering leverages multi-view verification to merge 2D instance masks in each frame into 3D instances, achieving strong zero-shot ...
What is pre-trained Model? A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model ...
Detecting and controlling tea pests promptly are crucial for safeguarding tea production quality. Due to the insufficient feature extraction ability of traditional CNN-based methods, they face ...
This paper presents a labeling methodology for marine life data using a weakly supervised learning framework. The methodology iteratively trains a deep learning model using non-expert labels obtained ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
Image segmentation is crucial for various Computer Vision tasks, aiding in image classification and object detection. Segmentation techniques can be categorised into semantic, instance, and panoptic ...
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