There are 3 repositories under object-segmentation topic.
Detectorch - detectron for PyTorch
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
Image augmentation for computer vision
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf
Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016
Tool to evaluate deep-learning detection and segmentation models, and to create datasets
Deeplab for semantic segmentation tasks
Real-time Detectron using webcam.
in-browser point cloud annotation tool for instance-level segmentation with fat markers
Referring Expression Object Segmentation with Caption-Aware Consistency, BMVC 2019
Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
This project uses Centernet and Conditional Convolutions for Instance Segmentation
Unsupervised Object Discovery and Segmentation with a Copy-Pasting GAN (CP-GAN) - PyTorch implementation (unofficial)
Detection of Cigarette buts on the streets using U-net segmentation.
Segment lanes on KITTI
in-browser point cloud annotation tool for instance-level segmentation using 2d projection
This is the implementation of PointIso model presented in the paper "Deep neural network for detecting arbitrary precision peptide features through attention based segmentation" (https://www.nature.com/articles/s41598-021-97669-7 and https://arxiv.org/abs/2009.07250). For any inquiry about running the codes, contact me (Fatema): fzohora@uwaterloo.ca
Matterport Mask R-CNN fork for Python3.8 / Tensorflow 2.4-2.6
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Video Super Resolution with depth map and optical flow for unnatural object flow
Robust Video Object Co-Segmentation (TIP15)
Saliency Aware Video Object Segmentation (CVPR15, PAMI18)
W. Wang and J. Shen, Higher-Order Image Co-segmentation, IEEE Trans. on Multimedia, 18(6):1011-1021, 2016
Using maskrcnn to predict fruits in custom dataset
Implement object segmentation on images using HOG algorithm proposed in CVPR 2005
Implementation of Mask R-CNN in Tensorflow 2.0
AICrowd Food Recognition Challenge - Semantic Segmentation
Computes loss between two sets of entities using the optimal assignment based on the Hungarian algorithm.
Waste Object Segmentation with state of art algorithm YOVOv5 trained on Custom Dataset.
Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.