sud0301's repositories
best_practices_ALSS
This is the official repository for the paper - Best Practices in Active Learning for Semantic Segmentation
open_vocab_seg
Open vocabulary segmentation
8gpu_test
cityscapes_training
essentials_for_CIL
Official repository of the paper 'Essentials for Class Incremental Learning'
contrastive_unsup_learning
Contrastive Unsupervised Learning
Awesome-Incremental-Learning
Awesome Incremental Learning
mean-teacher
A state-of-the-art semi-supervised method for image recognition
Global_Convolutional_Network
Pytorch implementation of GCN architecture for sematic segmentation
PyTorch-Encoding
A CV Toolkit
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
temporal-ensembling
PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning
MUNIT
Multimodal Unsupervised Image-to-Image Translation
ai-deadlines
:alarm_clock: AI conference deadline countdowns
AdvSemiSeg
Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang
models
Models and examples built with TensorFlow
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ssl_bad_gan
Good Semi-Supervised Learning That Requires a Bad GAN
tensorflow-deeplab-v3
DeepLabv3 built in TensorFlow
pytorch-cifar
95.16% on CIFAR10 with PyTorch
PyTorch-progressive_growing_of_gans
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
darknet
Convolutional Neural Networks
minos
MINOS: Multimodal Indoor Simulator
improved-gan
code for the paper "Improved Techniques for Training GANs"
SSGAN-Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.
NIPS_2017
collection of the NIPS 2017 papers
SUNCGtoolbox
C++ based toolbox for the SUNCG dataset
cnn-benchmarks
Benchmarks for popular CNN models