Enhanced Bird Detection from Low-Resolution Aerial Image Using Deep Neural Networks
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Baochang Zhang | Hanwen Hu | Ce Li | Jing Dai
[1] Chen Chen,et al. One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.
[2] Ling Shao,et al. Latent Constrained Correlation Filter , 2017, IEEE Transactions on Image Processing.
[3] Chen Chen,et al. Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets , 2017, IEEE Journal of Selected Topics in Signal Processing.
[4] Jian Yang,et al. Image Super-Resolution via Deep Recursive Residual Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Baochang Zhang,et al. Adaptive Local Movement Modeling for Robust Object Tracking , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Tarek M. Sobh,et al. Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild , 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
[7] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Hervé Glotin,et al. Bird detection in audio: A survey and a challenge , 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).
[9] Xiaoou Tang,et al. Accelerating the Super-Resolution Convolutional Neural Network , 2016, ECCV.
[10] Hongyu Wang,et al. End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks , 2016, IEEE Access.
[11] Sergio Escalera,et al. Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring , 2016, AMDO.
[12] A. Perina,et al. Bounding Multiple Gaussians Uncertainty with Application to Object Tracking , 2016, International Journal of Computer Vision.
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Li Fei-Fei,et al. DenseCap: Fully Convolutional Localization Networks for Dense Captioning , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Jun Zhu,et al. DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization , 2015, ArXiv.
[16] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Jianxiong Xiao,et al. Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Thomas S. Huang,et al. Deep Networks for Image Super-Resolution with Sparse Prior , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[19] Ronan Collobert,et al. Learning to Segment Object Candidates , 2015, NIPS.
[20] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Wan-Chi Siu,et al. Fast Image Interpolation via Random Forests , 2015, IEEE Transactions on Image Processing.
[22] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[23] Jian Sun,et al. Object Detection Networks on Convolutional Feature Maps , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Jian Sun,et al. Convolutional feature masking for joint object and stuff segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] C. Lawrence Zitnick,et al. Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.
[29] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[30] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Pingkun Yan,et al. Hierarchical incorporation of shape and shape dynamics for flying bird detection , 2014, Neurocomputing.
[33] Dezhen Song,et al. Automatic Bird Species Detection From Crowd Sourced Videos , 2014, IEEE Transactions on Automation Science and Engineering.
[34] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[35] Dumitru Erhan,et al. Scalable Object Detection Using Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Chih-Yuan Yang,et al. Fast Direct Super-Resolution by Simple Functions , 2013, 2013 IEEE International Conference on Computer Vision.
[37] Luc Van Gool,et al. Anchored Neighborhood Regression for Fast Example-Based Super-Resolution , 2013, 2013 IEEE International Conference on Computer Vision.
[38] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[40] Xuelong Li,et al. Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression , 2012, IEEE Transactions on Image Processing.
[41] Aline Roumy,et al. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding , 2012, BMVC.
[42] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Chih-Cheng Huang,et al. An Extended Set of Haar-like Features for Bird Detection Based on AdaBoost , 2011, FGIT-SIP.
[44] Koen E. A. van de Sande,et al. Segmentation as selective search for object recognition , 2011, 2011 International Conference on Computer Vision.
[45] Thomas S. Huang,et al. Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.
[46] Pietro Perona,et al. Caltech-UCSD Birds 200 , 2010 .
[47] Pol Coppin,et al. Webcams for Bird Detection and Monitoring: A Demonstration Study , 2010, Sensors.
[48] R. Keys. Cubic convolution interpolation for digital image processing , 1981 .