Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.13154
Training deep Convolutional Neural Networks (CNNs) presents unique challenges, including the pervasive issue of elimination singularities, consistent deactivation of nodes leading to degenerate manifolds within the loss landscape. These singularities impede efficient learning by disrupting feature propagation. To mitigate this, we introduce Pool Skip, an architectural enhancement that strategically combines a Max Pooling, a Max Unpooling, a 3 times 3 convolution, and a skip connection. This configuration helps stabilize the training process and maintain feature integrity across layers. We also propose the Weight Inertia hypothesis, which underpins the development of Pool Skip, providing theoretical insights into mitigating degradation caused by elimination singularities through dimensional and affine compensation. We evaluate our method on a variety of benchmarks, focusing on both 2D natural and 3D medical imaging applications, including tasks such as classification and segmentation. Our findings highlight Pool Skip's effectiveness in facilitating more robust CNN training and improving model performance.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.13154
- https://arxiv.org/pdf/2409.13154
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403754991
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403754991Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2409.13154Digital Object Identifier
- Title
-
Beyond Skip Connection: Pooling and Unpooling Design for Elimination SingularitiesWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-09-20Full publication date if available
- Authors
-
Chengkun Sun, Jinqian Pan, Jian‐Ming Jin, Russell Stevens Terry, Jiang Bian, Jie XuList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.13154Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2409.13154Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2409.13154Direct OA link when available
- Concepts
-
Connection (principal bundle), Pooling, Gravitational singularity, Mathematics, Computer science, Pure mathematics, Geometry, Mathematical analysis, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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