127 citations · 232 across the 9 of their papers we have counts for
7 papers · 1 filter
Sea Ice Segmentation From SAR Data by Convolutional Transformer Networks
Nicolae-Catalin Ristea, Andrei Anghel, Mihai Datcu
Sea ice is a crucial component of the Earth's climate system and is highly sensitive to changes in temperature and atmospheric conditions. Accurate and timely measurement of sea ic…
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging
Max Muzeau, Chengfang Ren, Sébastien Angelliaume +2
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviat…
Guided deep learning by subaperture decomposition: ocean patterns from SAR imagery
Nicolae-Catalin Ristea, Andrei Anghel, Mihai Datcu +1
Spaceborne synthetic aperture radar can provide meters scale images of the ocean surface roughness day or night in nearly all weather conditions. This makes it a unique asset for m…
LUAI Challenge 2021 on Learning to Understand Aerial Images
Gui-Song Xia, Jian Ding, Ming Qian +33
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in a…
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya +1
We propose a novel framework for cross-modal zero-shot learning (ZSL) in the context of sketch-based image retrieval (SBIR). Conventionally, the SBIR schema mainly considers simult…
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya +1
Conventional existing retrieval methods in remote sensing (RS) are often based on a uni-modal data retrieval framework. In this work, we propose a novel inter-modal triplet-based z…