Results of different loss function weight.

Results of different loss function weight.

<div><p>Landmark detection is a common task that benefits downstream computer vision tasks. Current landmark detection algorithms often train a sophisticated image pose encoder by reconstructing the source image to identify landmarks. Although a well-trained encoder can effectively captu...

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Bibliographic Details
Main Author: Can Zhao (706105) (author)
Other Authors: Tao Wu (16763) (author), Jianlin Zhang (440945) (author), Zhiyong Xu (3987659) (author), Meihui Li (1568122) (author), Dongxu Liu (547486) (author)
Published: 2024
Subjects:
Cell Biology
Neuroscience
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
siamese contrastive regularizer
landmark detection tasks
existing unsupervised methods
siamese comparative transformer
achieving semantic representations
image pose encoder
trained encoder
semantic relationships
guided transformer
source image
image reconstruction
thereby improving
lightweight direction
common task
based network
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