The deep learning field is converging towards the use of general foundation models that can be easily adapted for diverse tasks. While this paradigm shift has become common practice within the field of natural languag...
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ISBN:
(纸本)9798350318920;9798350318937
The deep learning field is converging towards the use of general foundation models that can be easily adapted for diverse tasks. While this paradigm shift has become common practice within the field of natural language processing, progress has been slower in computer vision. In this paper we attempt to address this issue by investigating the transferability of various state-of-the-art foundation models to medical image classification tasks. Specifically, we evaluate the performance of five foundation models, namely SAM, SEEM, DINOv2, BLIP, and OPENCLIP across four well-established medical imaging datasets. We explore different training settings to fully harness the potential of these models. Our study shows mixed results. DINOv2 consistently outperforms the standard practice of imageNET pretraining. However, other foundation models failed to consistently beat this established baseline indicating limitations in their transferability to medical image classification tasks.
This paper introduces an intelligent delta robot system enhanced with imageprocessing to optimize Pick & Place operations in Agricultural Produce Centers (APCs). Facing a critical demand for mechanization in agri...
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ISBN:
(纸本)9798331540845;9789887581598
This paper introduces an intelligent delta robot system enhanced with imageprocessing to optimize Pick & Place operations in Agricultural Produce Centers (APCs). Facing a critical demand for mechanization in agriculture due to a shrinking rural workforce, our system utilizes camera-based segmentation and depth estimation to efficiently automate the packaging of fruits and vegetables. It concentrates on essential tasks such as precise gripping and ungripping, supported by advanced camera-based visual sensors. Integrating these vision technologies with delta robot kinematics and specialized imageprocessingalgorithms allows the robot to execute highly accurate movements. Our implementation showcases significant enhancements in the efficiency and reliability of APC operations, advancing the field of agricultural robotic automation and establishing a new standard for future developments in automated food production.
With the development of complex spectrum environments such as 5G and 6G, the utilization of electromagnetic spectrum resources has become increasingly intensive, imposing higher demands on the performance and adaptabi...
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The corded target is an indispensable part in the study of machine vision-based measurement technology, and each coded value corresponds to a different unique value, which makes it be of an important application in im...
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In this paper, we present designing vibration energy harvesters based on the heart motion data achieved through imageprocessing. Energy harvesting is intended as a means to continuously produce energy by converting h...
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ISBN:
(数字)9781510671997
ISBN:
(纸本)9781510671997;9781510671980
In this paper, we present designing vibration energy harvesters based on the heart motion data achieved through imageprocessing. Energy harvesting is intended as a means to continuously produce energy by converting heart motion to electricity. This energy can be used to power pacemakers. Currently, pacemakers are powered by non-rechargeable batteries that run out in about 10 years. The pacemakers need to be surgically replaced when the batteries run out. Using energy harvesters could pave the way for permanent pacemakers that do not require periodic surgical replacement. We have developed low-frequency energy harvesting designs that have small size and at the same time can be tuned to the heart motion frequencies. One important aspect of the design process is having a reasonable estimate of the heart motion. We use imageprocessing and specifically optical flow tracking techniques to track the motion of individual points in Echo, MRI, and ultrasonic images. We experimentally test the developed harvesters to examine their power generation.
Passive radars that rely on angle-only measurements cannot obtain the distance between radars and targets. To obtain position estimates of targets, passive radars can be connected to a central processor through commun...
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作者：
Podbucki, KacperMarciniak, TomaszPoznan University of Technology
Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawla II 24 Poznań60-965 Poland
Measuring luminous intensity using electronic sensors requires their precise positioning. In the case of mobile measurement platforms, it is important to detect the light source and thus determine the correct directio...
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Stereo matching algorithms are used to recovery the three-dimensional map through the left and right pictures from the binocular camera. The accurate matching of corresponding points between stereo image pairs is a fu...
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Machine vision and computer imageprocessing technologies are widely used in the metallurgical industry, especially in recognizing and analyzing defects in glass. High surfaces of planer surface and quality in the gla...
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The success of image classification techniques based on deep learning relies heavily on a large amount of labeled data. However, the cost of data annotation is often expensive. This paper investigates active learning ...
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