Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022 - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Max-deeplab: End-to-end panoptic segmentation with mask transformers

H Wang, Y Zhu, H Adam, A Yuille… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract We present MaX-DeepLab, the first end-to-end model for panoptic segmentation.
Our approach simplifies the current pipeline that depends heavily on surrogate sub-tasks …

Panoptic segmentation: A review

O Elharrouss, S Al-Maadeed, N Subramanian… - arXiv preprint arXiv …, 2021 - arxiv.org
Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

Axial-deeplab: Stand-alone axial-attention for panoptic segmentation

H Wang, Y Zhu, B Green, H Adam, A Yuille… - European conference on …, 2020 - Springer
Convolution exploits locality for efficiency at a cost of missing long range context. Self-
attention has been adopted to augment CNNs with non-local interactions. Recent works …

Cmt-deeplab: Clustering mask transformers for panoptic segmentation

Q Yu, H Wang, D Kim, S Qiao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-based
framework for panoptic segmentation designed around clustering. It rethinks the existing …

Panoptic segformer: Delving deeper into panoptic segmentation with transformers

Z Li, W Wang, E Xie, Z Yu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Panoptic segmentation involves a combination of joint semantic segmentation and instance
segmentation, where image contents are divided into two types: things and stuff. We present …

Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation

S Qiao, Y Zhu, H Adam, A Yuille… - Proceedings of the …, 2021 - openaccess.thecvf.com
In this paper, we present ViP-DeepLab, a unified model attempting to tackle the long-
standing and challenging inverse projection problem in vision, which we model as restoring …

Fully convolutional networks for panoptic segmentation with point-based supervision

Y Li, H Zhao, X Qi, Y Chen, L Qi, L Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we present a conceptually simple, strong, and efficient framework for fully-and
weakly-supervised panoptic segmentation, called Panoptic FCN. Our approach aims to …

全景分割研究综述

徐鹏斌, 瞿安国, 王坤峰, 李大字 - 自动化学报, 2021 - aas.net.cn
在计算机视觉领域, 全景分割是一个新颖且重要的研究主题, 它是机器感知, 自动驾驶等新兴前沿
技术的基石, 具有十分重要的研究意义. 本文综述了基于深度学习的全景分割研究的最新进展 …

Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark

L Daza, J Pont-Tuset, P Arbeláez - European Conference on Computer …, 2022 - Springer
Abstract We propose the Adversarially Robust Panoptic Segmentation (ARPaS) benchmark
to assess the general robustness of panoptic segmentation techniques. To account for the …