Abstract
Convolutional Neural Networks (ConvNets) usually rely on edge/shape information to classify images. Visualization methods developed over the last decade confirm that ConvNets rely on edge information. We investigate situations where the ConvNet needs to rely on image intensity in addition to shape. We show that the ConvNet relies on image intensity information using visualization.
| Original language | English (US) |
|---|---|
| State | Published - 2023 |
| Externally published | Yes |
| Event | 1st Tiny Papers at 11th International Conference on Learning Representations, Tiny Papers @ ICLR 2023 - Kigali, Rwanda Duration: May 5 2023 → May 5 2023 |
Conference
| Conference | 1st Tiny Papers at 11th International Conference on Learning Representations, Tiny Papers @ ICLR 2023 |
|---|---|
| Country/Territory | Rwanda |
| City | Kigali |
| Period | 5/5/23 → 5/5/23 |
All Science Journal Classification (ASJC) codes
- Linguistics and Language
- Language and Linguistics
- Computer Science Applications
- Education
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