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A Principled Evaluation Protocol for Comparative Investigation of the
  Effectiveness of DNN Classification Models on Similar-but-non-identical
  Datasets

A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets

5 September 2022
Esla Timothy Anzaku
Haohan Wang
Arnout Van Messem
W. D. Neve
ArXivPDFHTML

Papers citing "A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets"

4 / 4 papers shown
Title
Visformer: The Vision-friendly Transformer
Visformer: The Vision-friendly Transformer
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
114
209
0
26 Apr 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
252
36,362
0
25 Aug 2016
1