no code implementations • 26 Jul 2022 • Xuyang Shen, Jo Plested, Sabrina Caldwell, Yiran Zhong, Tom Gedeon
Fine-tuning is widely applied in image classification tasks as a transfer learning approach.
no code implementations • 23 Aug 2021 • Xuyang Shen, Jo Plested, Sabrina Caldwell, Tom Gedeon
Varying the proportions of male and female faces in the training data can have a substantial effect on behavior on the test data: we found that the seemingly obvious choice of 50:50 proportions was not the best for this dataset to reduce biased behavior on female faces, which was 71% unbiased as compared to our top unbiased rate of 84%.
1 code implementation • 11 May 2021 • Yang Liu, Saeed Anwar, Zhenyue Qin, Pan Ji, Sabrina Caldwell, Tom Gedeon
The prevalent convolutional neural network (CNN) based image denoising methods extract features of images to restore the clean ground truth, achieving high denoising accuracy.
1 code implementation • CVPR 2021 • Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon
InvDN transforms the noisy input into a low-resolution clean image and a latent representation containing noise.
no code implementations • 23 Sep 2020 • Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina Caldwell, Tom Gedeon
Sentence compression is a Natural Language Processing (NLP) task aimed at shortening original sentences and preserving their key information.
1 code implementation • 7 Sep 2020 • Yang Liu, Zhenyue Qin, Saeed Anwar, Sabrina Caldwell, Tom Gedeon
Identifying the information lossless condition for deep neural architectures is important, because tasks such as image restoration require keep the detailed information of the input data as much as possible.