mahlermozart Goto Github PK

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

adamp

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

ademxapp

Code for https://arxiv.org/abs/1611.10080

artline

A Deep Learning based project for creating line art portraits.

autofocus-layer

awesome-background-subtraction

A curated list of background subtraction related papers and resources

banet

nonofficial implementation of paper "Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation"

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

batch-channel-normalization

bilateral_solver

Python code for the fast bilateral solver

binseg_pytoch

Implementation of several state of the art methods for Binary Segmentation in PyTorch

blogcodes2

bonnetal

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

boundaryawarenetwork

A tensorflow implementation of Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation

caffe2-segmentation-ios

carn-pytorch

Official implementation of Efficient Cascading Residual Network for SR

cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

cgnet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]

colorization_s_demo

condensenet

CondenseNet: Light weighted CNN for mobile devices

conv-benchmark

Evaluating efficiency of several types of convolutions

coordattention

Code for our CVPR2021 paper coordinate attention

cosnet

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

cwd

Channel-wise Distillation for Semantic Segmentation

data_augmentation

data augmentation repo for semantic segmentation

dbpn-pytorch

Deep Back-Projection Networks for Super-Resolution

dctnet

deepguidedfilter

Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)