Simple demonstration of separable convolutions
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions
Spatiotemporal-separable 3D convolution network.
An implementation of Adaptive Separable Convolution for Video Frame Interpolation
Simple Speech Keyword Detecting with Depthwise Separable Convolutions | DLology
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
Implementation of Depthwise Separable Convolution (pytorch)
Kernel Point Convolutions
Convolutions for Sequence Modeling
Separable Subsurface Scattering is a technique that allows to efficiently perform subsurface scattering calculations in screen space in just two passes.
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 20...
(Realtime) Temporal Convolutions in PyTorch
Representation learning on large graphs using stochastic graph convolutions.
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
#计算机科学#Convmelspec: Convertible Melspectrograms via 1D Convolutions
Implementation of YOLOv3-tiny + Depthwise Separable Convolution on FPGA