Results 11 to 20 of about 5,879,357 (336)
Contrastive Learning Based on Transformer for Hyperspectral Image Classification
Applied Sciences, 2021 Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu +4 more
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IEEE Access, 2023 In order to solve the resource allocation problem in scenarios of centralized wireless cellular communication with multiple cells, users and channels, a novel resource allocation algorithm based on joint Deep Deterministic Policy Gradient (DDPG ...
Ming Sun +3 more
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Unsupervised Learning of Accurate Siamese Tracking [PDF]
Computer Vision and Pattern Recognition, 2022 Unsupervised learning has been popular in various computer vision tasks, including visual object tracking. However, prior unsupervised tracking approaches rely heavily on spatial supervision from templatesearch pairs and are still unable to track objects
Qiuhong Shen +9 more
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Unsupervised Learning of Depth and Ego-Motion from Video [PDF]
Computer Vision and Pattern Recognition, 2017 We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. In common with recent work [10, 14, 16], we use an end-to-end learning approach with view synthesis as the ...
Tinghui Zhou +3 more
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DetCo: Unsupervised Contrastive Learning for Object Detection [PDF]
IEEE International Conference on Computer Vision, 2021 We present DetCo, a simple yet effective self-supervised approach for object detection. Unsupervised pre-training methods have been recently designed for object detection, but they are usually deficient in image classification, or the opposite.
Enze Xie +6 more
semanticscholar +1 more source
Unsupervised Learning for Human Sensing Using Radio Signals [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 There is a growing literature demonstrating the feasibility of using Radio Frequency (RF) signals to enable key computer vision tasks in the presence of occlusions and poor lighting.
Tianhong Li +3 more
semanticscholar +1 more source
Micromachines, 2022 Neuromorphic computing has shown great advantages towards cognitive tasks with high speed and remarkable energy efficiency. Memristor is considered as one of the most promising candidates for the electronic synapse of the neuromorphic computing system ...
Ruiyi Li +7 more
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GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and egomotion estimation from videos. The three components are coupled by the nature of 3D scene geometry, jointly learned by our framework in an end-to-end ...
Zhichao Yin, Jianping Shi
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On the Philosophy of Unsupervised Learning
Philosophy & Technology, 2023 Unsupervised learning algorithms are widely used for many important statistical tasks with numerous applications in science and industry. Yet despite their prevalence, they have attracted remarkably little philosophical scrutiny to date.
D. Watson
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Unsupervised Learning of Particles Dispersion
Mathematics, 2023 This paper discusses using unsupervised learning in classifying particle-like dispersion. The problem is relevant to various applications, including virus transmission and atmospheric pollution.
Nicholas Christakis, Dimitris Drikakis
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