Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives

18 April 2022

Jun Li

Jocelyn Chanussot

Antonio J. Plaza

ArXiv PDF HTML

Papers citing "Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives"

35 / 35 papers shown

Title
Auto-Prompting SAM for Weakly Supervised Landslide Extraction Jian Wang Xiaokang Zhang Xianping Ma Weikang Yu Pedram Ghamisi 60 3 0 23 Jan 2025
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey Feifei Shao Long Chen Jian Shao Wei Ji Shaoning Xiao Lu Ye Yueting Zhuang Jun Xiao WSOD 37 20 0 26 May 2021
Weakly Supervised Object Localization and Detection: A Survey Dingwen Zhang Junwei Han Gong Cheng Ming-Hsuan Yang WSOD 66 276 0 16 Apr 2021
A survey of active learning algorithms for supervised remote sensing image classification D. Tuia Michele Volpi Loris Copa M. Kanevski Jordi Munoz-Marí 34 525 0 15 Apr 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization Yivan Zhang Gang Niu Masashi Sugiyama NoLa 59 81 0 04 Feb 2021
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources S. Salcedo-Sanz Pedram Ghamisi M. Piles M. Werner L. Cuadra Á. Moreno-Martínez E. Izquierdo-Verdiguier Jordi Munoz-Marí Amir H. Mosavi G. Camps-Valls 52 179 0 07 Dec 2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? F. Cordeiro G. Carneiro NoLa 94 47 0 05 Dec 2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 38 40 0 11 Nov 2020
Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing Images Yao Wei Shunping Ji 40 82 0 25 Oct 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 101 985 0 16 Jul 2020
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities Gong Cheng Xingxing Xie Junwei Han Lei Guo Guisong Xia VLM 91 635 0 03 May 2020
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation Jingwei Song Shaobo Xia Jun Wang Mitesh Patel Dong Chen UQCV 27 8 0 23 Apr 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox) Behnood Rasti Danfeng Hong Renlong Hang Pedram Ghamisi Xudong Kang Jocelyn Chanussot J. Benediktsson 92 153 0 05 Mar 2020
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation Yawar Siddiqui Julien P. C. Valentin Matthias Nießner 49 159 0 26 Nov 2019
Deep Learning for Hyperspectral Image Classification: An Overview Shutao Li Weiwei Song Leyuan Fang Yushi Chen Pedram Ghamisi J. Benediktsson 53 1,259 0 26 Oct 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 47 275 0 19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 84 899 0 16 Aug 2019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review Nicolas Audebert Bertrand Le Saux Sébastien Lefèvre 66 478 0 24 Apr 2019
Exploring Representativeness and Informativeness for Active Learning Bo Du Zengmao Wang Lefei Zhang Liangpei Zhang Wen Liu Jialie Shen Dacheng Tao 33 173 0 14 Apr 2019
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification Cheng Deng Yumeng Xue Xianglong Liu Chao Li Dacheng Tao 45 145 0 04 Apr 2019
Hyperspectral Image Classification in the Presence of Noisy Labels Junjun Jiang Jiayi Ma Zheng Wang Chen Chen Xianming Liu NoLa 50 162 0 12 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 148 2,450 0 06 Sep 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 180 1,367 0 02 May 2018
Iterative Learning with Open-set Noisy Labels Yisen Wang Weiyang Liu Xingjun Ma James Bailey H. Zha Le Song Shutao Xia NoLa 79 328 0 31 Mar 2018
Transductive Unbiased Embedding for Zero-Shot Learning Mingli Song Chengchao Shen Yezhou Yang Yang Liu Xiuming Zhang 60 197 0 30 Mar 2018
Deep learning in remote sensing: a review Xiaoxiang Zhu D. Tuia Lichao Mou Gui-Song Xia Liangpei Zhang Feng Xu Friedrich Fraundorfer 74 1,611 0 11 Oct 2017
Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification Rodrigo Berriel Andre Teixeira Lopes Alberto F. de Souza Thiago Oliveira-Santos 39 49 0 28 Jun 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix Bingfeng Luo Yansong Feng Zheng Wang Zhanxing Zhu Songfang Huang Rui Yan Dongyan Zhao 61 86 0 11 May 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,734 0 08 Mar 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 88 678 0 13 Jan 2017
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 164 2,090 0 29 Mar 2016
Weakly Supervised Deep Detection Networks Hakan Bilen Andrea Vedaldi WSOD 69 788 0 09 Nov 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 164 311 0 28 May 2015
Crowdsourcing Dialect Characterization through Twitter Bruno Gonçalves David Sánchez 82 95 0 26 Jul 2014
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 89 244 0 05 Mar 2013