Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks

19 November 2021

Papers citing "Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks"

5 / 5 papers shown

Title
Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies Vladyslav Polushko Damjan Hatic Ronald Rösch Thomas Marz M. Rauhut Andreas Weinmann 31 0 0 28 Apr 2025
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 19 56 0 15 Nov 2022
Multimodal contrastive learning for remote sensing tasks Umang Jain Alex Wilson Varun Gulshan SSL 28 24 0 06 Sep 2022
Self-supervised pre-training enhances change detection in Sentinel-2 imagery Marrit Leenstra Diego Marcos F. Bovolo D. Tuia SSL 72 42 0 20 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 437 15,631 0 02 Nov 2015