Abstract: End-to-end automatic speech recognition (E2E-ASR) can be classified by its decoder architectures, such as connectionist temporal classification (CTC), recurrent neural network transducer ...
Abstract: This paper presents a novel map matching framework that adopts deep learning techniques to map a sequence of cell tower locations to a trajectory on a road network. Map matching is an ...
Abstract: Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks. Conventional methods typically stack sub-networks with multi-scale input ...
This repo contains a minimal pytorch implementation of Supervised Memory Training (SMT) and DAgger Memory Training (DMT) for research purposes. The code is simplified for ease of use and modification.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results