Reverse Attention-Based Residual Network for Salient Object Detection
暂无分享,去创建一个
Shuhan Chen | Xiuli Tan | Xuelong Hu | Ben Wang | Yun Fu | Huchuan Lu | Huchuan Lu | Y. Fu | Xuelong Hu | Benge Wang | Shuhan Chen | Xiuli Tan
[1] Ronan Collobert,et al. Learning to Refine Object Segments , 2016, ECCV.
[2] Yunhong Wang,et al. Receptive Field Block Net for Accurate and Fast Object Detection , 2017, ECCV.
[3] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[4] Yizhou Yu,et al. Deep Contrast Learning for Salient Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Sabine Süsstrunk,et al. Frequency-tuned salient region detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Guanbin Li,et al. Visual Saliency Detection Based on Multiscale Deep CNN Features. , 2016, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
[7] Huchuan Lu,et al. Ranking Saliency , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Tao Li,et al. Structure-Measure: A New Way to Evaluate Foreground Maps , 2017, International Journal of Computer Vision.
[9] Zhiqiang Shen,et al. DSOD: Learning Deeply Supervised Object Detectors from Scratch , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[10] Huchuan Lu,et al. Detect Globally, Refine Locally: A Novel Approach to Saliency Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[11] Junwei Han,et al. DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Yunchao Wei,et al. STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Yi Li,et al. Instance-Sensitive Fully Convolutional Networks , 2016, ECCV.
[14] Xiaogang Wang,et al. Visual Tracking with Fully Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Huchuan Lu,et al. Salient Object Detection with Recurrent Fully Convolutional Networks , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Xiaogang Wang,et al. Residual Attention Network for Image Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Gang Wang,et al. A Bi-Directional Message Passing Model for Salient Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Nanning Zheng,et al. Learning to Detect a Salient Object , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Ali Borji,et al. Salient Object Detection Driven by Fixation Prediction , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[21] Hongbin Zha,et al. Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining , 2018, ECCV.
[22] Liqing Zhang,et al. Saliency Detection: A Spectral Residual Approach , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Jing Zhang,et al. Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Yuan Xie,et al. Instance-Level Salient Object Segmentation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Charless C. Fowlkes,et al. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation , 2016, ECCV.
[26] Yunchao Wei,et al. STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation. , 2017, IEEE transactions on pattern analysis and machine intelligence.
[27] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.
[28] Ben Wang,et al. Reverse Attention for Salient Object Detection , 2018, ECCV.
[29] Zhuowen Tu,et al. Deeply Supervised Salient Object Detection with Short Connections , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[31] 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).
[32] Shi-Min Hu,et al. Global contrast based salient region detection , 2011, CVPR 2011.
[33] Narendra Ahuja,et al. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Gang Wang,et al. Recurrent Attentional Networks for Saliency Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[36] Yunchao Wei,et al. Deep Salient Object Detection With Dense Connections and Distraction Diagnosis , 2018, IEEE Transactions on Multimedia.
[37] Youbao Tang,et al. Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs , 2016, ECCV.
[38] Jingdong Wang,et al. Salient Object Detection: A Discriminative Regional Feature Integration Approach , 2013, International Journal of Computer Vision.
[39] Gang Yu,et al. Learning a Discriminative Feature Network for Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[40] Huchuan Lu,et al. Learning to Promote Saliency Detectors , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Huchuan Lu,et al. Saliency Detection with Recurrent Fully Convolutional Networks , 2016, ECCV.
[42] Xiangyu Zhang,et al. DetNet: Design Backbone for Object Detection , 2018, ECCV.
[43] Jing Zhang,et al. Deep Edge-Aware Saliency Detection , 2017, ArXiv.
[44] Zhiming Luo,et al. Non-local Deep Features for Salient Object Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Huchuan Lu,et al. Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[47] Li Xu,et al. Hierarchical Image Saliency Detection on Extended CSSD , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Guoying Zhao,et al. SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Yueting Zhuang,et al. DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection , 2015, IEEE Transactions on Image Processing.
[50] Ling-Yu Duan,et al. Finding the Secret of Image Saliency in the Frequency Domain , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Gang Wang,et al. Deep Level Sets for Salient Object Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] James M. Rehg,et al. The Secrets of Salient Object Segmentation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Yi Yang,et al. Attention to Scale: Scale-Aware Semantic Image Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Huchuan Lu,et al. Saliency Detection via Graph-Based Manifold Ranking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[55] Ali Borji,et al. Salient Object Detection: A Benchmark , 2015, IEEE Transactions on Image Processing.
[56] Chi-Wing Fu,et al. Direction-Aware Spatial Context Features for Shadow Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[57] Huchuan Lu,et al. Learning Uncertain Convolutional Features for Accurate Saliency Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[58] Huchuan Lu,et al. Learning to Detect Salient Objects with Image-Level Supervision , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Xiangyu Zhang,et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design , 2018, ECCV.
[60] Gayoung Lee,et al. Deep Saliency with Encoded Low Level Distance Map and High Level Features , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[62] Stan Sclaroff,et al. Saliency Detection: A Boolean Map Approach , 2013, 2013 IEEE International Conference on Computer Vision.
[63] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[64] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[65] Yunchao Wei,et al. Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[66] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[67] Ming-Hsuan Yang,et al. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[68] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[69] Gang Wang,et al. Progressive Attention Guided Recurrent Network for Salient Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[70] Jianjun Lei,et al. Visual Attention Prediction for Stereoscopic Video by Multi-Module Fully Convolutional Network , 2019, IEEE Transactions on Image Processing.
[71] Xuelong Li,et al. DISC: Deep Image Saliency Computing via Progressive Representation Learning , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[72] Yizhou Yu,et al. Visual Saliency Detection Based on Multiscale Deep CNN Features , 2016, IEEE Transactions on Image Processing.
[73] Ye Wang,et al. Semantic Segmentation with Reverse Attention , 2017, BMVC.
[74] Jia Li,et al. Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks , 2019, IEEE Transactions on Image Processing.