660 Open source projects that are alternatives of or similar to adversarial-attacks

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

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

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

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

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

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

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

Implemetation of Pyramid Scene Parsing Network in Pytorch

No description or website provided.

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

Implement popular models by different DL framework. Such as tensorflow and caffe

The U-Net Segmentation server (caffe_unet) for Docker

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

Google DeepLab V3 for Image Semantic Segmentation

HyperSeg - Official PyTorch Implementation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

A flexible Python front-end inference SDK based on TensorRT

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

SOTA Semantic Segmentation Models in PyTorch

[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

This is the example implementation of UNet model for semantic segmentations

No description or website provided.

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

AttaNet for real-time semantic segmentation.

Full package for applying deep learning to virtual slides.

Training Low-bits DNNs with Stochastic Quantization

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Caffe Wide-Residual-Network (WRN) Generator

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

caffe based mobilenet v2 deploy

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

deep-learning platforms,framework,data（深度学习平台、框架、资料）

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

Cut and paste augmentation for object detection and instance segmentation

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

Official PyTorch implementation of SegFormer

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Easily train or fine-tune SOTA computer vision models with one open source training library

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Semantic-TSDF for Self-driving Static Scene Reconstruction

The code for preparing the training data for crowd counting / segmentation algorithm.

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)

Keras BiseNet architecture implementation

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

TensorFlow implementation of LinkNet

U-NET Semantic Segmentation model for Mobile

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

pytorch to caffe by onnx

基于语义分割的矿区无人机影像地物提取实验

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos