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Exploiting CNNs for Semantic Segmentation with Pascal VOC. (arXiv:2304.13216v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
In this paper, we present a comprehensive study on semantic segmentation with
the Pascal VOC dataset. Here, we have to label each pixel with a class which in
turn segments the entire image based on the objects/entities present. To tackle
this, we firstly use a Fully Convolution Network (FCN) baseline which gave
71.31% pixel accuracy and 0.0527 mean IoU. We analyze its performance and
working and subsequently address the issues in the baseline with three
improvements: a) cosine annealing learning …
arxiv cnns convolution dataset image network objects paper pascal pixel segmentation semantic study