Fast recognition of cat and dog images based on network compression

Peng Wang; Meng-ya Chen

doi:10.1117/12.2654130

8 December 2022 Fast recognition of cat and dog images based on network compression

Peng Wang, Meng-ya Chen

Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 124742Q (2022) https://doi.org/10.1117/12.2654130
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China

Abstract

Cat and dog recognition is a classic problem in the field of image recognition. This paper proposes a fast detection algorithm FAST-CD-Classification-Net for this problem. The algorithm improves F1 from 0.7299 to 0.9875 with the help of residual structure; The product acceleration network reduces the running time from 0.025s to 0.008s without significantly reducing the accuracy. Experiments on the data set CD-KAGGLE show that the accuracy and robustness of the recognition algorithm designed in this paper are better than other algorithms.

Citation Download Citation

Peng Wang and Meng-ya Chen "Fast recognition of cat and dog images based on network compression", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 124742Q (8 December 2022); https://doi.org/10.1117/12.2654130

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