Change detection in images using shape-aware siamese convolutional network
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Shuhui Bu | Pengcheng Han | Qing Li | Suicheng Li | Pinmo Tong | Ke Li | Gang Wan | Shuhui Bu | G. Wan | Ke Li | Pengcheng Han | Suicheng Li | Qing Li | Pinmo Tong
[1] Marcos Ortega,et al. An end-to-end deep learning approach for simultaneous background modeling and subtraction , 2019, BMVC.
[2] Gabriele Moser,et al. A Clustering Approach to Heterogeneous Change Detection , 2017, SCIA.
[3] Shih-Chia Huang,et al. A background model re-initialization method based on sudden luminance change detection , 2015, Eng. Appl. Artif. Intell..
[4] Mohammad Havaei,et al. DFNet: Discriminative feature extraction and integration network for salient object detection , 2020, Eng. Appl. Artif. Intell..
[5] Björn Stenger,et al. Detecting Change for Multi-View, Long-Term Surface Inspection , 2015, BMVC.
[6] Qing Li,et al. Mask-CDNet: A mask based pixel change detection network , 2020, Neurocomputing.
[7] Li Yan,et al. An Unsupervised SAR Change Detection Method Based on Stochastic Subspace Ensemble Learning , 2019, Remote. Sens..
[8] Quanlong Li,et al. Deep layer guided network for salient object detection , 2020, Neurocomputing.
[9] Knut Conradsen,et al. Statistical Analysis of Changes in Sentinel-1 Time Series on the Google Earth Engine , 2019, Remote. Sens..
[10] Simone Bianco,et al. Combination of Video Change Detection Algorithms by Genetic Programming , 2017, IEEE Transactions on Evolutionary Computation.
[11] Nikos Komodakis,et al. Learning to compare image patches via convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Suparn Pathak. New Change Detection Techniques to monitor land cover dynamics in mine environment , 2014 .
[13] Ashbindu Singh,et al. Review Article Digital change detection techniques using remotely-sensed data , 1989 .
[14] Yu Liu,et al. Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection , 2018, ArXiv.
[15] Cunbao Ma,et al. Aerial image change detection using dual regions of interest networks , 2019, Neurocomputing.
[16] Jizhou Sun,et al. Fine-Grained Change Detection of Misaligned Scenes with Varied Illuminations , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[17] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Jizhou Sun,et al. Learning to Detect Fine-Grained Change Under Variant Imaging Conditions , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[20] Yangyang Li,et al. Change detection in SAR images by artificial immune multi-objective clustering , 2014, Eng. Appl. Artif. Intell..
[21] Ping Tan,et al. Active Recurrence of Lighting Condition for Fine-Grained Change Detection , 2018, IJCAI.
[22] Guillaume-Alexandre Bilodeau,et al. SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity , 2015, IEEE Transactions on Image Processing.
[23] Sébastien Lefèvre,et al. Coupling ground-level panoramas and aerial imagery for change detection , 2016, Geo spatial Inf. Sci..
[24] Qijun Zhao,et al. Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection , 2019, IEEE Transactions on Multimedia.
[25] Zhiming Luo,et al. Interactive deep learning method for segmenting moving objects , 2017, Pattern Recognit. Lett..
[26] Menglong Yan,et al. Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images , 2017, IEEE Geoscience and Remote Sensing Letters.
[27] Fatih Murat Porikli,et al. CDnet 2014: An Expanded Change Detection Benchmark Dataset , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[28] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[29] Juan Tan,et al. Complex object detection using deep proposal mechanism , 2020, Eng. Appl. Artif. Intell..
[30] Atta Badii,et al. Change detection based on graph cuts , 2015, 2015 International Conference on Systems, Signals and Image Processing (IWSSIP).
[31] Germán Ros,et al. Street-view change detection with deconvolutional networks , 2016, Autonomous Robots.
[32] Yongjun Zhang,et al. Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis , 2018, IEEE Geoscience and Remote Sensing Letters.
[33] Leandro dos Santos Coelho,et al. Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series , 2020, Appl. Soft Comput..
[34] Hichem Sahbi,et al. Constrained optical flow for aerial image change detection , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[35] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Avadesh Meduri,et al. MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard , 2019, Eng. Appl. Artif. Intell..
[37] Yang Wang,et al. Salient Object Detection using a Context-Aware Refinement Network , 2017, BMVC.
[38] Lichao Mou,et al. Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection , 2016, Remote. Sens..
[39] Takayuki Okatani,et al. Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation , 2015, BMVC.
[40] Sahin Isik,et al. SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos , 2018, J. Electronic Imaging.
[41] Tiantian Wang,et al. A Multistage Refinement Network for Salient Object Detection , 2020, IEEE Transactions on Image Processing.
[42] Hakan Cevikalp,et al. Visual Object Detection Using Cascades of Binary and One-Class Classifiers , 2017, International Journal of Computer Vision.
[43] Mario I. Chacon-Murguia,et al. Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos , 2016 .
[44] Ian D. Reid,et al. RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[46] Vladimir Kolmogorov,et al. "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..
[47] Shie Mannor,et al. A Tutorial on the Cross-Entropy Method , 2005, Ann. Oper. Res..
[48] Qian Zhang,et al. Active Camera Relocalization from a Single Reference Image without Hand-Eye Calibration , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Zhong Lu,et al. A Novel Change Detection Method Based on Statistical Distribution Characteristics Using Multi-Temporal PolSAR Data , 2020, Sensors.
[50] Yang Wang,et al. Gated Feedback Refinement Network for Dense Image Labeling , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[52] Mohammed Bennamoun,et al. Learning deep structured network for weakly supervised change detection , 2016, IJCAI.
[53] Miguel A. Molina-Cabello,et al. Foreground Detection by Competitive Learning for Varying Input Distributions , 2017, Int. J. Neural Syst..