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Torch implementation of neural style algorithm
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Models and code related to sketch simplification of rough sketches.
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
This repo contains the source code accompanying a scientific paper with the same name.
Code for "Learning Feature Pyramids for Human Pose Estimation" (ICCV 2017)
Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).
Code for Curriculum based Dropout Discriminator for Domain Adaptation(CD3A), BMVC, 2019



