Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robustness and Overfitting Behavior of Implicit Background Models   In this paper, we examine the overfitting behavior of image classification
models modified with Implicit Background Estimation (SCrIBE), which transforms
them into weakly supervised segmentation models that provide spatial domain
visualizations without affecting performance. Using the segmentation masks, we
derive an overfit detection criterion that does not require testing labels. In
addition, we assess the change in model performance, calibration, and
segmentation masks after applying data augmentations as overfitting reduction
measures and testing on various types of distorted images.

13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph