Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
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Updated
Jun 2, 2018 - C++
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
A Multi Scale Convolutional Neural Network Architecture for Music Auto-Tagging
An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
U-Net + Attention, extending U-Net model for semantic segmentation. Implemented with TensorFlow.
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
A Tri-map free direct Alpha Matting.
MGWR 2.0 Software
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".
Multi-scale deep neural networks for real image super-resolution
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Multi-scale 4D-Earth framework indexation formalism
TSIT implementation in TensorFlow; TSIT: A Simple and Versatile Framework for Image-to-Image Translation
Multi-scale 4D-Earth framework front-end
Elena Merino Tejero, Antoine van Kampen: Multiscale model of plasma cell differentiation
NSST is a discrete form of Shearlet transform, and it differs from other multi-scale transformations by avoiding up-down samplers. NSST consists of two main stages, multi-scale and multi-directional separations.
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