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May 4, 2023 · In this article,the authors propose an unsupervised model to extract landmarks of objects in images. ... Experiments show that the proposed model ...
May 4, 2023 · Constructing positive and negative sample pairs between landmarks and employing the contrastive loss to make semantically consistent landmarks ...
May 4, 2023 · AbstractIn the field of landmark detection based on deep learning, most of the research utilise convolutional neural networks to represent ...
In this article,the authors propose an unsupervised model to extract landmarks of objects in images. ... Experiments show that the proposed model achieves better ...
Our study of the unsupervised landmark detection began with the question ... Cited by (2). Unsupervised detection of contrast enhanced highlight landmarks.
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This repository is a PyTorch implementation of On Equivariant and Invariant Learning of Object Landmark Representations by Zezhou Cheng, Jong-Chyi Su, Subhransu ...
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Jul 10, 2024 · Recent research indicates an increasing interest in landmark detection across diverse domains within X-ray images. Haibo et al. [33] proposed a ...
Unsupervised detection of contrast enhanced highlight landmarks ... In the field of landmark detection based on deep learning, most of the research utilise ...
Tao Wu , Wenzhuo Fan, Shuxian Li, Qingqing Li, Jianlin Zhang, Meihui Li: Unsupervised detection of contrast enhanced highlight landmarks. IET Comput. Vis.
... Unsupervised detection of contrast enhanced highlight landmarks', IET Computer Vision, 2023, 17, (7), p. 804-813, DOI: 10.1049/cvi2.12197 IET Digital ...