391 Open source projects that are alternatives of or similar to FoggySynscapes

Formula to detect the ease of reading a text according to the Gunning fog index (1952)

Adaptive Affinity Fields for Semantic Segmentation

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Curated List of Self-Driving Cars Resources

Rain Rendering for Evaluating and Improving Robustness to Bad Weather (Tremblay et al., 2020) (S. S. Halder et al., 2019)

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

Unity3D - Easy to use Fog Of War

Implemetation of Pyramid Scene Parsing Network in Pytorch

A clear and simple solution of Fog of War for Unreal Engine 4

The implementation of 3D-UNet using PyTorch

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Caffe: a fast open framework for deep learning.

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

A paper list of RGBD semantic segmentation (processing)

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

[ICLR2022] official implementation of UniFormer

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Semantic Segmentation Models in Pytorch

A probabilistic prototype for deployment of Fog applications.

Paper notes in deep learning/machine learning and computer vision

Pharo Ethereum Driver

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

LiDAR fog simulation

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Textureless fog particles using a highly customizable shader to attenuate noise values.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Develop production ready deep learning code, deploy it and scale it

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

DeepLab-LargeFOV implemented in tensorflow

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

PyTorch implementation of DeepLabv3

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Semantic Segmentation using Fully Convolutional Neural Network.

2D and 3D UNet implementation in PyTorch.

Multithreaded recursive directory upload to S3 using FOG

Coupled simulator for research on driver-pedestrian interactions made in Unity3D.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

A framework for developing neural network models for 3D image processing.