912 Open source projects that are alternatives of or similar to Xtreme-Vision

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

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

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Cut and paste augmentation for object detection and instance segmentation

This is a code repository for pytorch c++ (or libtorch) tutorial.

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

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

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

📚 A collection of papers about Referring Image Segmentation.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

OpenMMLab Detection Toolbox and Benchmark

Paper notes in deep learning/machine learning and computer vision

PyTorch implementation of "Pyramid Scene Parsing Network".

Cell Detection with PyTorch.

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

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 to Keras model convertor

Tools to Design or Visualize Architecture of Neural Network

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

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Keras implementation of a ResNet-CAM model

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Object Detection API Tensorflow

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

PyTorch to Keras model convertor

Implementation of popular deep learning networks with TensorRT network definition API

Deep Learning using Rectified Linear Units (ReLU)

Building an image classifier in TF2

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

Evaluate three types of task shifting with popular continual learning algorithms.

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

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

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

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

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Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

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

Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

Semantic Segmentation using Fully Convolutional Neural Network.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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

TensorFlow C API Class Wrapper in Server Side Swift.

Code for Java Deep Learning Cookbook

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