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ZDB-FIG-250113-22

Publication

Chai et al., 2024 - Cross-Shaped Heat Tensor Network for Morphometric Analysis Using Zebrafish Larvae Feature Keypoints

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Figure 1

Comparison of the conventional keypoint detection framework and ours. (a) In the conventional framework for using a heatmap, the convolution kernel extracts the image feature map and obtains a local receptive field. Subsequently, the local field is compared to the heatmap point by point. The probability of keypoint occurrence is highest near the annotated position (red area) and gradually decreases as it moves farther away (blue area). (b) Our CSHT-Net, proposed in this study, breaks the strong connection between the model feature map and the GT label heatmap, allowing the feature map to explore long-distance information. Additionally, our network has augmented the receptive field using our improved combinatorial convolution block.

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This image is the copyrighted work of the attributed author or publisher, and ZFIN has permission only to display this image to its users. Additional permissions should be obtained from the applicable author or publisher of the image. Full text @ Sensors (Basel)