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Table 4.1: Below is the chart of results we found after validating on the reduced set ot VOC2012 data.

Table 4 1: Below is the chart of results we found after validating on the reduced set ot VOC2012 data.

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Figure 4.2: A graph to show the increase in mean accuracy per iterations reaches 78.6 percent after 400,000 iterations. If we plot a graph of iteration vs loss then plot seems to have
Figure 4.2: A graph to show the increase in mean accuracy per iterations reaches 78.6 percent after 400,000 iterations. If we plot a graph of iteration vs loss then plot seems to have
Figure 4.4: A graph showing the increase in mean intersection over union after each iteration. local context seems to be important over global contexts.
Figure 4.4: A graph showing the increase in mean intersection over union after each iteration. local context seems to be important over global contexts.
Figure 4.5: A graph showing the increase in pixel accuracy after each iteration.
Figure 4.5: A graph showing the increase in pixel accuracy after each iteration.
Figure 4.6: Showing the frequency weighted accuracy increasing after each iteration.
Figure 4.6: Showing the frequency weighted accuracy increasing after each iteration.
Table 5.1: Below is our Pixel Accuracy, Mean Accuracy, MeanIOU and FW Accuracy com- pared with other models. As seen, most of the scores generate better outcome than the previous models for each metric.
Table 5.1: Below is our Pixel Accuracy, Mean Accuracy, MeanIOU and FW Accuracy com- pared with other models. As seen, most of the scores generate better outcome than the previous models for each metric.
Table 5.2: Comparative metrics and loss graph against iterations of the total validation process. spikes with the help of snapshot of every 5,000 iterations.
Table 5.2: Comparative metrics and loss graph against iterations of the total validation process. spikes with the help of snapshot of every 5,000 iterations.
Table 5.4: A chart showing different model’s test result in VOC2012 segmentation challenge.
Table 5.4: A chart showing different model’s test result in VOC2012 segmentation challenge.
Table 5.3: Hyperparameter tuning for 2nd stage of training
Table 5.3: Hyperparameter tuning for 2nd stage of training
Figure 5.2: FCN-8 Heavy Figure 5.3: FCN-8 At Once
Figure 5.2: FCN-8 Heavy Figure 5.3: FCN-8 At Once
Figure 5.5: Ground Truth
Figure 5.5: Ground Truth
Figure 5.6: Original Image Figure 5.4: VGG19 FCN
Figure 5.6: Original Image Figure 5.4: VGG19 FCN
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