There are 23 repositories under mask-rcnn topic.
OpenMMLab Detection Toolbox and Benchmark
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
RectLabel is an offline image annotation tool for object detection and segmentation.
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
small c++ library to quickly deploy models using onnxruntime
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
Building detection from the SpaceNet dataset by using Mask RCNN.
[ECCV 2020] Boundary-preserving Mask R-CNN
Mask R-CNN for object detection and instance segmentation on Pytorch
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Mask R-CNN for Human Pose Estimation on Keras and TensorFlow.
Detectron2 for Document Layout Analysis
ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
đź› Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI
OpenVINO Training Extensions Object Detection
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
Implementation maskrcnn-benchmark, pytorch c++ frontend
SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)
Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]
Train a Mask R-CNN model with the Tensorflow Object Detection API
deeplearning.ai Tensorflow advance techniques specialization
A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset