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

SegAN: Semantic Segmentation with Adversarial Learning

Caffe for YOLOv2 & YOLO9000

[NeurIPS 2019] Spherical Text Embedding

Data Augmentation for Caffe

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

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

code/webpage for the DeepMapping project

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

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

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.

Real-World Anomaly Detection in Surveillance Videos

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

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

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"

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

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

AI on Hadoop

An awesome semantic segmentation model that runs in real time

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Use caffe to train your own data in just one click

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

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

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

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

Collection of computer vision models, ready to be included in a JVM project

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

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Latent space autoregression for novelty detection.

SegSort: Segmentation by Discriminative Sorting of Segments

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

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

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

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

A curated list of pretrained sentence and word embedding models

Convert darknet weights to caffemodel

A Caffe Re-Implementation of SENet

A simpler way of reading and augmenting image segmentation data into TensorFlow

A large-scale dataset for face parsing (AAAI2020)

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

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

SeqFace : Making full use of sequence information for face recognition

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

RefineNet-101 VOC in PyTorch

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Be Driven 🚘

Reimplementation ResNet on cifar10 with caffe

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Fully convolutional networks for semantic segmentation

Deformable Convolutional Networks on caffe

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"