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Found 5 papers, 0 papers with code
Adaptive Deep Iris Feature Extractor at Arbitrary Resolutions
Resolution degradation reduces the recognition performance of deep learning models trained by high-resolution images.
Improving Low-Light Image Recognition Performance Based on Image-adaptive Learnable Module
In recent years, significant progress has been made in image recognition technology based on deep neural networks.
Segmentation-free Direct Iris Localization Networks
Experimental results show that the combination of ILN and PRN works in 34. 5 ms for one iris image on a CPU, and its localization performance outperforms conventional iris segmentation methods.
Fast Eye Detector Using Siamese Network for NIR Partial Face Images
A regression on a portion of a feature with high similarity refines the coarse position of the eye to obtain the fine position with high accuracy.
Rollable Latent Space for Azimuth Invariant SAR Target Recognition
Scarce labeled data and limited viewing direction are critical issues in SAR target recognition. The RLS is a designed space in which rolling of latent features corresponds to 3D rotation of an object.
