896 Open source projects that are alternatives of or similar to Pixelnet

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Caffe implementation for "Guided Optical Flow Learning"

Implemetation of Pyramid Scene Parsing Network in Pytorch

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A Compositional Object-Based Approach to Learning Physical Dynamics

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

A stable algorithm for GAN training

Sandbox for training deep learning networks

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Caffe for YOLOv2 & YOLO9000

Data Augmentation for Caffe

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

An awesome semantic segmentation model that runs in real time

Use caffe to train your own data in just one click

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

code for py-R-FCN-multiGPU maintained by bupt-priv

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Latent space autoregression for novelty detection.

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Fully Convolutional HarDNet for Segmentation in Pytorch

A curated list of pretrained sentence and word embedding models

A Caffe Re-Implementation of SENet

pytorch 2 caffe

A large-scale dataset for face parsing (AAAI2020)

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

Satellite Image Classification using semantic segmentation methods in deep learning

Deep learning using tensorflow

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.