281 Open source projects that are alternatives of or similar to Pixelobjectness

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Semantic text segmentation. For sentence boundary detection, compound splitting and more.

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

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中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

20x Real-time superpixel SLIC Implementation with CPU

Generic U-Net Tensorflow implementation for image segmentation

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Open solution to the TGS Salt Identification Challenge

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用

Video Object Segmentation

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DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Pre-Trained Models for ToD-BERT

Automatic detection of plant diseases

Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.

Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

SegNet-like network implemented in TensorFlow to use for segmenting aerial images

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

A TensorFlow implementation of the Mnemonic Descent Method.

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This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

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Code for the Lovász-Softmax loss (CVPR 2018)

A fast, high-quality neural vocoder.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Motion Fused Frames implementation in PyTorch, codes and pretrained models.

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Realtime Image Segmentation on Android

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Tensorflow implement of U-Net

High-quality Neural Networks for Computer Vision 😎

Full web grabcut example using opencvjs

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

Page to PAGE Layout Analysis Tool

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"