Abstract: Few-shot semantic segmentation (FSS) aims to segment the target prospects of query images using a few labeled support samples. Compared with the fully-supervised methods, FSS has a greater ...
Abstract: RGB-D semantic segmentation can be advanced with convolutional neural networks due to the availability of Depth data. Although objects cannot be easily discriminated by just the 2D ...