69 Open source projects that are alternatives of or similar to MCAR

PSPNet in Chainer

Label images and video for Computer Vision applications

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Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Library for fast text representation and extreme classification.

Most popular metrics used to evaluate object detection algorithms.

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

WIDER FACE annotations converted to the Pascal VOC XML format

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Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

machine-learning tensorflow multi-label-classification

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基于tf.keras的多标签多分类模型

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A simple utility programe to visualize pascal voc (format) dataset images with bounding boxes. Useful to check whether there is any error in forming annotation files.

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DECAF: Deep Extreme Classification with Label Features

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Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

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FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

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Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

DeepLab-ResNet rebuilt in TensorFlow

Code for CheXpert Challenge 2019 [Top 2(07/24/2019)]

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Caver: a toolkit for multilabel text classification.

DeepLabv3+ built in TensorFlow

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

Object Detection

Tools for object detection annotations in machine learning

Real-time object detection on Android using the YOLO network with TensorFlow

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Extremely simple and fast extreme multi-class and multi-label classifiers.

This repository contains the source code of our work on designing efficient CNNs for computer vision

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Convert between visual object detection datasets

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

DeepLab-LargeFOV implemented in tensorflow

Focal Loss for Dense Object Detection.

Pytorch Implementation of GoEmotions 😍😢😱

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Helper for dealing with MS-COCO annotations

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.