A review on 2D instance segmentation based on deep neural networks

W Gu, S Bai, L Kong - Image and Vision Computing, 2022 - Elsevier
Image instance segmentation involves labeling pixels of images with classes and instances,
which is one of the pivotal technologies in many domains, such as natural scenes …

Semantic image segmentation: Two decades of research

G Csurka, R Volpi, B Chidlovskii - Foundations and Trends® …, 2022 - nowpublishers.com
Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer
vision applications, providing key information for the global understanding of an image. This …

Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation

B Cheng, MD Collins, Y Zhu, T Liu… - Proceedings of the …, 2020 - openaccess.thecvf.com
In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast system for panoptic
segmentation, aiming to establish a solid baseline for bottom-up methods that can achieve …

Rectifying pseudo label learning via uncertainty estimation for domain adaptive semantic segmentation

Z Zheng, Y Yang - International Journal of Computer Vision, 2021 - Springer
This paper focuses on the unsupervised domain adaptation of transferring the knowledge
from the source domain to the target domain in the context of semantic segmentation …

Yolact: Real-time instance segmentation

D Bolya, C Zhou, F Xiao, YJ Lee - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
We present a simple, fully-convolutional model for real-time instance segmentation that
achieves 29.8 mAP on MS COCO at 33.5 fps evaluated on a single Titan Xp, which is …

Mask scoring r-cnn

Z Huang, L Huang, Y Gong… - Proceedings of the …, 2019 - openaccess.thecvf.com
Letting a deep network be aware of the quality of its own predictions is an interesting yet
important problem. In the task of instance segmentation, the confidence of instance …

Weakly supervised learning of instance segmentation with inter-pixel relations

J Ahn, S Cho, S Kwak - … of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
This paper presents a novel approach for learning instance segmentation with image-level
class labels as supervision. Our approach generates pseudo instance segmentation labels …

The mapillary vistas dataset for semantic understanding of street scenes

G Neuhold, T Ollmann, S Rota Bulo… - Proceedings of the …, 2017 - openaccess.thecvf.com
Abstract The Mapillary Vistas Dataset is a novel, large-scale street-level image dataset
containing 25,000 high-resolution images annotated into 66 object categories with …

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

A Kendall, Y Gal, R Cipolla - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Numerous deep learning applications benefit from multi-task learning with multiple
regression and classification objectives. In this paper we make the observation that the …

Evolution of image segmentation using deep convolutional neural network: A survey

F Sultana, A Sufian, P Dutta - Knowledge-Based Systems, 2020 - Elsevier
From the autonomous car driving to medical diagnosis, the requirement of the task of image
segmentation is everywhere. Segmentation of an image is one of the indispensable tasks in …