4 citations · 8 across the 4 of their papers we have counts for
3 papers · 1 filter
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
Zhendi Gong, Andrew P. French, Guoping Qiu +1
Convolutional neural networks (CNNs) achieved the state-of-the-art performance in medical image segmentation due to their ability to extract highly complex feature representations.…
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
Bowen Deng, Andrew P. French, Michael P. Pound
Salient object detection plays an important role in many downstream tasks. However, complex real-world scenes with varying scales and numbers of salient objects still pose a challe…
Hierarchical Piecewise-Constant Super-regions
Imanol Luengo, Mark Basham, Andrew P. French
Recent applications in computer vision have come to heavily rely on superpixel over-segmentation as a pre-processing step for higher level vision tasks, such as object recognition,…