Mask-RCNN
Object detection framework
A PyTorch implementation of the Mask R-CNN architecture
A PyTorch implementation of the architecture of Mask RCNN
995 stars
23 watching
179 forks
Language: Python
last commit: over 5 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A Mask R-CNN implementation using OCaml's Owl numerical library | 17 |
| An implementation of Faster R-CNN detection framework in PyTorch | 1,816 |
| An implementation of Mask R-CNN using MXNet and Resnet-50-FPN for object detection and segmentation in images. | 1,755 |
| A collection of PyTorch implementations of various scene graph generation models | 732 |
| This repository provides code for training a Faster R-CNN object detection model on DOTA datasets. | 337 |
| An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 |
| An implementation of Mask-RCNN in Caffe for object detection and instance segmentation tasks | 231 |
| An implementation of Faster R-CNN object detection in PyTorch, modified from DenseCap. | 85 |
| A PyTorch implementation of a neural network architecture that modifies the input to its layers by applying noise masks. | 57 |
| A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
| An open source implementation of Mask Scoring R-CNN for instance segmentation tasks. | 1,901 |
| An implementation of Faster R-CNN using MXNet for object detection tasks | 671 |
| An implementation of Faster R-CNN using PyTorch | 1,722 |
| A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. | 339 |
| A research project providing a deep learning-based object detection framework | 835 |