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 …
which is one of the pivotal technologies in many domains, such as natural scenes …
Semantic image segmentation: Two decades of research
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 …
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
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 …
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
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 …
from the source domain to the target domain in the context of semantic segmentation …
Yolact: Real-time instance segmentation
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 …
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 …
important problem. In the task of instance segmentation, the confidence of instance …
Weakly supervised learning of instance segmentation with inter-pixel relations
This paper presents a novel approach for learning instance segmentation with image-level
class labels as supervision. Our approach generates pseudo instance segmentation labels …
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 …
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
Numerous deep learning applications benefit from multi-task learning with multiple
regression and classification objectives. In this paper we make the observation that the …
regression and classification objectives. In this paper we make the observation that the …
Evolution of image segmentation using deep convolutional neural network: A survey
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 …
segmentation is everywhere. Segmentation of an image is one of the indispensable tasks in …