Results 11 to 20 of about 7,074,171 (358)
Image Segmentation Using Deep Learning: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among others, and ...
Shervin Minaee +5 more
semanticscholar +1 more source
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation [PDF]
Medical Image Analysis, 2023 The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in various segmentation tasks and its prompt-based interface.
Junde Wu +7 more
semanticscholar +1 more source
Customized Segment Anything Model for Medical Image Segmentation [PDF]
arXiv.org, 2023 We propose SAMed, a general solution for medical image segmentation. Different from the previous methods, SAMed is built upon the large-scale image segmentation model, Segment Anything Model (SAM), to explore the new research paradigm of customizing ...
Kaiwen Zhang, Dong Liu
semanticscholar +1 more source
An improved image segmentation algorithm based on the maximum class variance method [PDF]
MATEC Web of Conferences, 2020 Image segmentation is an important part of image processing. The result of image segmentation directly affects the effect of subsequent image processing. However the efficiency of the traditional maximum class variance method is low.
Qi Qianhui, Tian Yimin, Han Lili
doaj +1 more source
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widely used in medical image segmentation.
Huimin Huang +8 more
semanticscholar +1 more source
Image Segmentation Techniques for Intelligent Monitoring of Putonghua Examinations
Advances in Mathematical Physics, 2022 Image recognition and image processing usually contain the technique of image segmentation. Excellent segmentation results can directly affect the accuracy of image recognition and processing. The essence of image segmentation is to segment each frame of
Hui Liu
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Applied Sciences, 2022 Visual navigation is an important guidance method for industrial automated guided vehicles (AGVs). In the actual guidance, the overexposure environment may be encountered by the AGV lane image, which seriously reduces the accuracy of lane detection ...
Zongxin Yang +6 more
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit.
Liang-Chieh Chen +4 more
semanticscholar +1 more source
UNeXt: MLP-based Rapid Medical Image Segmentation Network [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022 UNet and its latest extensions like TransUNet have been the leading medical image segmentation methods in recent years. However, these networks cannot be effectively adopted for rapid image segmentation in point-of-care applications as they are parameter-
Jeya Maria Jose Valanarasu +1 more
semanticscholar +1 more source
A Method of Polished Rice Image Segmentation Based on YO-LACTS for Quality Detection
Agriculture, 2023 The problem of small and multi-object polished rice image segmentation has always been one of importance and difficulty in the field of image segmentation.
Jinbo Zhou +5 more
doaj +1 more source