Learning rotation equivalent scene representation from instance-level semantics: A novel top-down perspective
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T. Gevers | Wei Ji | Shaodi You | Qi Bi
[1] Guisong Xia,et al. All Grains, One Scheme (AGOS): Learning Multigrain Instance Representation for Aerial Scene Classification , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[2] Guisong Xia,et al. An Empirical Study of Remote Sensing Pretraining , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[3] Hassan A. Karimi,et al. A semantically driven self-supervised algorithm for detecting anomalies in image sets , 2021, Comput. Vis. Image Underst..
[4] Gui-Song Xia,et al. Local Semantic Enhanced ConvNet for Aerial Scene Recognition , 2021, IEEE Transactions on Image Processing.
[5] Qi Bi,et al. Differential Convolution Feature Guided Deep Multi-Scale Multiple Instance Learning for Aerial Scene Classification , 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Chen Ning,et al. Enhanced Feature Pyramid Network With Deep Semantic Embedding for Remote Sensing Scene Classification , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[7] Manoj Kumar,et al. Image surface texture analysis and classification using deep learning , 2020, Multim. Tools Appl..
[8] Guisong Xia,et al. Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Xue Yang,et al. Learning Modulated Loss for Rotated Object Detection , 2019, AAAI.
[10] Gal Chechik,et al. On Learning Sets of Symmetric Elements (Extended Abstract) , 2021, IJCAI.
[11] Shiren Li,et al. Learning to locate for fine-grained image recognition , 2021, Comput. Vis. Image Underst..
[12] Qi Bi,et al. Multi-scale stacking attention pooling for remote sensing scene classification , 2021, Neurocomputing.
[13] Qi Bi,et al. APDC-Net: Attention Pooling-Based Convolutional Network for Aerial Scene Classification , 2020, IEEE Geoscience and Remote Sensing Letters.
[14] Shuang Yu,et al. Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning , 2020, MICCAI.
[15] Arye Nehorai,et al. Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Sasan Mahmoodi,et al. Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification , 2020, Comput. Vis. Image Underst..
[17] Qi Bi,et al. RADC-Net: A residual attention based convolution network for aerial scene classification , 2020, Neurocomputing.
[18] Guisong Xia,et al. A Multiple-Instance Densely-Connected ConvNet for Aerial Scene Classification , 2019, IEEE Transactions on Image Processing.
[19] Lucas Lacasa,et al. Visibility Graphs for Image Processing , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Mingqi Li,et al. Semi-supervised Transfer Learning for Convolutional Neural Networks for Glaucoma Detection , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[21] Dwarikanath Mahapatra,et al. Informative sample generation using class aware generative adversarial networks for classification of chest Xrays , 2019, Comput. Vis. Image Underst..
[22] Alejandro F. Frangi,et al. Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment , 2019, IEEE Transactions on Medical Imaging.
[23] Xuelong Li,et al. Scene Classification With Recurrent Attention of VHR Remote Sensing Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[24] Dong Xu,et al. Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection , 2019, IEEE Transactions on Image Processing.
[25] Shutao Li,et al. Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[26] Xiaochun Cao,et al. Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image , 2018, IEEE Transactions on Medical Imaging.
[27] Lei Guo,et al. When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[28] Wenyu Liu,et al. Revisiting multiple instance neural networks , 2016, Pattern Recognit..
[29] Liangpei Zhang,et al. Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification , 2017, Remote. Sens..
[30] Peng Tang,et al. Learning Multi-Instance Deep Discriminative Patterns for Image Classification , 2017, IEEE Transactions on Image Processing.
[31] Deyu Meng,et al. Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Alexander J. Smola,et al. Deep Sets , 2017, 1703.06114.
[33] Gui-Song Xia,et al. AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[34] Davut Hanbay,et al. Principal curvatures based rotation invariant algorithms for efficient texture classification , 2016, Neurocomputing.
[35] Paul F. Whelan,et al. Using filter banks in Convolutional Neural Networks for texture classification , 2016, Pattern Recognit. Lett..
[36] Guiduo Duan,et al. Rotation Invariant Texture Retrieval Considering the Scale Dependence of Gabor Wavelet , 2015, IEEE Transactions on Image Processing.
[37] Davut Hanbay,et al. Continuous rotation invariant features for gradient-based texture classification , 2015, Comput. Vis. Image Underst..
[38] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[39] Xuelong Li,et al. Saliency Detection by Multiple-Instance Learning , 2013, IEEE Transactions on Cybernetics.
[40] Jun Zhang,et al. Continuous rotation invariant local descriptors for texton dictionary-based texture classification , 2013, Comput. Vis. Image Underst..
[41] Matti Pietikäinen,et al. Rotation-Invariant Image and Video Description With Local Binary Pattern Features , 2012, IEEE Transactions on Image Processing.
[42] Mubarak Shah,et al. Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[44] Etienne Barnard,et al. Invariance and neural nets , 1991, IEEE Trans. Neural Networks.