Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation
Sign Up to like & getrecommendations! Published in 2021 at "Neural Processing Letters"
DOI: 10.1007/s11063-021-10608-5
Abstract: Dense depth estimation based on a single image is a basic problem in computer vision and has exciting applications in many robotic tasks. Modelling fully supervised methods requires the acquisition of accurate and large ground… read more here.
Keywords: self supervised; estimation; depth estimation; triplet attention ... See more keywords
Pansharpening via Triplet Attention Network With Information Interaction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3171423
Abstract: Pansharpening aims to obtain high spatial resolution multispectral (MS) images by fusing the spatial and spectral information in low spatial resolution (LR) MS and panchromatic (PAN) images. Recently, deep neural network (DNN) based pansharpening methods… read more here.
Keywords: information; network; information interaction; triplet attention ... See more keywords
Fast Multi-Shadow Tracking for Video-SAR Using Triplet Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3152556
Abstract: This article extends the shadow tracking for video-synthetic aperture radar (SAR) from a single-target framework to a multitarget framework, which is crucial for SAR ground moving targets’ identification. Inspired by FairMOT, the multitarget tracking framework… read more here.
Keywords: sar; tracking video; shadow tracking; using triplet ... See more keywords