Faster SCDNet: Real-Time Semantic Segmentation Network with Split Connection and Flexible Dilated Convolution.

Recently, semantic segmentation has been widely applied in various realistic scenarios. Many semantic segmentation backbone networks use various forms of dense connection to improve the efficiency of gradient propagation in the network. They achieve excellent segmentation accuracy but lack inference speed.

Scale-Invariant Multidirectional License Plate Detection with the Network Combining Indirect and Direct Branches.

As the license plate is multiscale and multidirectional in the natural scene image, its detection is challenging in many applications. In this work, a novel network that combines indirect and direct branches is proposed for license plate detection in the wild. The indirect detection branch performs small-sized vehicle plate detection with high precision in a coarse-to-fine scheme using vehicle-plate relationships.