Many thanks to BL, SFANet and CAN for their useful publications and repositories. For complete UCF-QNRF and Shanghaitech training code, please refer to BL and SFANet respectively. Please see models ...

This architecture adopts an encoder-decoder network, to make full use of information ... we use different sizes of convolution kernels and concatenate generated feature maps, so that not only cracks ...

This page contains the encoder-decoder model definition for learning the face completion task, aka face inpainting, following the method mentioned in J. Mathai*, I. Masi*, W. AbdAlmageed, "Does ...

Furthermore, there is a lack of accurate recognition methods for non-large-scale ... convolution to greatly reduce the amount of computation. Then, A CBAM module was added between the encoder module ...

Jahangir, M. S. , You, J. , & Quilty, J. . (2023). A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting. Journal of Hydrology, 619 ...

In this paper, we propose an effective and efficient method for tumor segmentation in liver CT images using encoder-decoder based octave convolution networks. Compared with other convolution networks ...

Designed for high-speed surveillance applications, M-SegNet has no additional multi-scale-aware module in order to not increase the complexity. Both models are encoder-decoder based architectures and ...