687 Open source projects that are alternatives of or similar to Deepdenoising

A list of popular deep learning models related to classification, segmentation and detection problems

A list of popular deep learning models related to classification, segmentation and detection problems

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

[ICLR2022] official implementation of UniFormer

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

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

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

Sandbox for training deep learning networks

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.

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Paper notes in deep learning/machine learning and computer vision

Gluon CV Toolkit

Label Studio is a multi-type data labeling and annotation tool with standardized output format

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Semantic segmentation on iPhone using ESPNetv2

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

🤘 awesome-semantic-segmentation

A curated list of awesome data labeling tools

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 implementation of PSPNet

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

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.

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Tools to Design or Visualize Architecture of Neural Network

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

Segmentation of ID Cards using Semantic Segmentation

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

segmentation repo using pytorch

Deep Label Distribution Learning with Label Ambiguity

Pytorch implementation of GCN architecture for semantic segmentation

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Object Recognition using TensorFlow and Java

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

An AI based application to identify currency and gives audio feedback.

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

unet for rgb images semantic segmentation

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

TFslim based semantic segmentation models, modular&extensible boutique design

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

SegNet implementation & experiments in Chainer

Best Practices, code samples, and documentation for Computer Vision.

PSPNet in Chainer

The deep semantic segmentation network for lane segmentation.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019