FastMask

Object Segmenter

This project provides a tool for segmenting objects in images using deep learning techniques

FastMask: Segment Multi-scale Object Candidates in One Shot

GitHub

215 stars
16 watching
65 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
hyojinpark/extportraitseg This project presents two lightweight deep learning models for portrait segmentation, along with their implementation and training procedures. 62
abbypa/nnproject_deepmask A deep learning implementation of an object segmentation algorithm. 187
churuanh0/fastsam_awsome_tensorrt An implementation of a CNN model optimized for speed and segment anything functionality using the FastSAM design. 108
media-smart/vedaseg A PyTorch-based toolbox for building and training semantic segmentation models 410
prbonn/depth_clustering A fast and robust algorithm to segment 3D point clouds generated by Velodyne sensors into objects. 1,205
youngwanlee/centermask An efficient anchor-free instance segmentation system with a novel spatial attention-guided mask branch and an improved backbone network 771
lartpang/ovcamo Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. 20
ilastik/ilastik An interactive machine learning toolkit for image segmentation and analysis 353
tramac/fast-scnn-pytorch A PyTorch implementation of a deep learning model for semantic segmentation tasks in computer vision. 381
foamliu/deep-image-matting-pytorch An implementation of deep image matting in PyTorch using a neural network architecture. 817
fiji/trainable_segmentation Combines machine learning with image features to segment pixels based on classification algorithms 112
facebookresearch/cutler An unsupervised object detection and segmentation framework that can learn from image data alone, without requiring human annotations. 943
aka-discover/ccmba_cvpr23 Improving semantic segmentation robustness to motion blur using custom data augmentation techniques 5
utkuozbulak/adaptive-segmentation-mask-attack An implementation of an adversarial example generation method for deep learning segmentation models. 57
preritj/segmentation Deep learning models for semantic segmentation of images 100