Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
Max-deeplab: End-to-end panoptic segmentation with mask transformers
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 …
Our approach simplifies the current pipeline that depends heavily on surrogate sub-tasks …
Panoptic segmentation: A review
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 …
such as smart city, healthcare, computer vision and geoscience, and remote sensing …
Axial-deeplab: Stand-alone axial-attention for panoptic segmentation
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 …
attention has been adopted to augment CNNs with non-local interactions. Recent works …
Cmt-deeplab: Clustering mask transformers for panoptic segmentation
Abstract We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-based
framework for panoptic segmentation designed around clustering. It rethinks the existing …
framework for panoptic segmentation designed around clustering. It rethinks the existing …
Panoptic segformer: Delving deeper into panoptic segmentation with transformers
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 …
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
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 …
standing and challenging inverse projection problem in vision, which we model as restoring …
Fully convolutional networks for panoptic segmentation with point-based supervision
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 …
weakly-supervised panoptic segmentation, called Panoptic FCN. Our approach aims to …
Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark
Abstract We propose the Adversarially Robust Panoptic Segmentation (ARPaS) benchmark
to assess the general robustness of panoptic segmentation techniques. To account for the …
to assess the general robustness of panoptic segmentation techniques. To account for the …