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Analyzing the performance of different types of convolutional filters for image segmentation purposes.

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Semantic-Segmentaion-Using-CNNs

Analyzing the performance of different types of convolutional filters for image segmentation purposes.

Experimental Setup

Dataset: CityScapes

Input Resolution: 512 x 256 x 3

GPU: NVIDIA Tesla K20c

Gradient Update Method:

First 10 Epoch:AdaGrad

After 10 Epoch:SGD

Results

mIoU on Test Dataset

Model mIoU
FCN8 51.1
DUC-HDC 28.5
U-Net 23.4

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Analyzing the performance of different types of convolutional filters for image segmentation purposes.

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