What is the common patch size to choose in segmentation?
Best insight from top research papers
The common patch size chosen for segmentation varies depending on the specific application and dataset. However, several papers suggest that a patch size of 5x5 tends to give good results in terms of intersection over union (IoU) for semantic segmentation tasks. Dudhat et al. demonstrated that using a 5x5 patch size with the ENET Deep Neural Network yielded the highest IoU compared to other deep networks . Similarly, Degadwala et al. found that a 5x5 patch size provided the highest junction over union compared to other deep networks . Additionally, Mojtahedi et al. proposed a technique to select the optimal patch size for vision transformers based on the average volume size of metastasis lesions, indicating that patch size selection is crucial for segmentation performance . Overall, while the choice of patch size may vary, a 5x5 patch size appears to be commonly used and effective for semantic segmentation tasks.
Answers from top 5 papers
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87 Citations | The paper does not explicitly mention the common patch size to choose in segmentation. |
13 May 2020 1 Citations | The common patch size for segmentation in the paper is 5x5. |
| The paper does not mention the common patch size to choose in segmentation. | |
2 Citations | The paper does not explicitly mention the common patch size to choose in segmentation. |
03 Dec 2020 | The paper does not mention a specific common patch size for segmentation. |
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