Adaptive Masked Autoencoder Transformer for image classification

Author:

Chen Xiangru,Liu Chenjing,Hu Peng,Lin Jie,Gong Yunhong,Chen Yingke,Peng Dezhong,Geng XueORCID

Funder

China Scholarship Council

National Natural Science Foundation of China

Sichuan Province Science and Technology Support Program

A*STAR

Publisher

Elsevier BV

Reference33 articles.

1. Very deep convolutional networks for large-scale image recognition;Simonyan,2015

2. Adaptive deep learning detection model for multi-foggy images;Arif;IJIMAI,2022

3. Faster r-cnn: Towards real-time object detection with region proposal networks;Ren;Adv. Neural Inf. Process. Syst.,2015

4. K. He, G. Gkioxari, P. Dollár, R. Girshick, Mask r-cnn, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 2961–2969.

5. A hybrid classification of imbalanced hyperspectral images using ADASYN and enhanced deep subsampled multi-grained cascaded forest;Datta;Remote Sens.,2022

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