Few-Cost Salient Object Detection with Adversarial-Paced Learning
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[1] Huazhu Fu,et al. Re-Thinking Co-Salient Object Detection , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Wanli Ouyang,et al. Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Junwei Han,et al. Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Guang Yang,et al. SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT , 2020, IEEE Transactions on Industrial Informatics.
[5] Xiaoning Qian,et al. Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs , 2020, IEEE Transactions on Multimedia.
[6] Xin Yu,et al. Weakly-Supervised Salient Object Detection via Scribble Annotations , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Junwei Han,et al. SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Tong Lin,et al. MarginGAN: Adversarial Training in Semi-Supervised Learning , 2019, NeurIPS.
[9] Dingwen Zhang,et al. Employing Deep Part-Object Relationships for Salient Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Jinhui Tang,et al. Few-Shot Image Recognition With Knowledge Transfer , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[11] Yonghong Tian,et al. Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[12] Thomas Brox,et al. DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision , 2019, NeurIPS.
[13] Ming-Ming Cheng,et al. EGNet: Edge Guidance Network for Salient Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[14] Yuan Xie,et al. Semi-Supervised Video Salient Object Detection Using Pseudo-Labels , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] Wenguan Wang,et al. Shifting More Attention to Video Salient Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Huchuan Lu,et al. A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Annan Li,et al. KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Ling Shao,et al. An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Huchuan Lu,et al. Attentive Feedback Network for Boundary-Aware Salient Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Steven C. H. Hoi,et al. Salient Object Detection With Pyramid Attention and Salient Edges , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Huchuan Lu,et al. CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Cheng Deng,et al. Balanced Self-Paced Learning for Generative Adversarial Clustering Network , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jianmin Jiang,et al. A Simple Pooling-Based Design for Real-Time Salient Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Zhe Wu,et al. Cascaded Partial Decoder for Fast and Accurate Salient Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Huchuan Lu,et al. Multi-Source Weak Supervision for Saliency Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Sun-Yuan Kung,et al. Semi-Supervised Salient Object Detection Using a Linear Feedback Control System Model , 2019, IEEE Transactions on Cybernetics.
[27] Shubhra Aich,et al. Object Counting with Small Datasets of Large Images , 2018, ArXiv.
[28] Dinggang Shen,et al. Contour Knowledge Transfer for Salient Object Detection , 2018, ECCV.
[29] Xiaoning Qian,et al. Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization , 2018, ECCV.
[30] Deyu Meng,et al. Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework , 2018, International Journal of Computer Vision.
[31] 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.
[32] Gang Wang,et al. Progressive Attention Guided Recurrent Network for Salient Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] 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.
[34] Jing Zhang,et al. Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Yuan Xie,et al. Weakly Supervised Salient Object Detection Using Image Labels , 2018, AAAI.
[36] Ming-Hsuan Yang,et al. Adversarial Learning for Semi-supervised Semantic Segmentation , 2018, BMVC.
[37] Dong Xu,et al. Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey , 2018, IEEE Signal Processing Magazine.
[38] 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.
[39] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Concetto Spampinato,et al. Semi Supervised Semantic Segmentation Using Generative Adversarial Network , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[41] Huchuan Lu,et al. A Stagewise Refinement Model for Detecting Salient Objects in Images , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] Huchuan Lu,et al. Learning to Detect Salient Objects with Image-Level Supervision , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Deyu Meng,et al. Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Changsheng Li,et al. Self-Paced Multi-Task Learning , 2016, AAAI.
[46] Junwei Han,et al. DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Deyu Meng,et al. What Objective Does Self-paced Learning Indeed Optimize? , 2015, ArXiv.
[48] Yizhou Yu,et al. Visual saliency based on multiscale deep features , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Qi Xie,et al. Self-Paced Learning for Matrix Factorization , 2015, AAAI.
[50] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[51] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[53] Shiguang Shan,et al. Self-Paced Learning with Diversity , 2014, NIPS.
[54] Deyu Meng,et al. Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search , 2014, ACM Multimedia.
[55] Huchuan Lu,et al. Saliency Detection via Graph-Based Manifold Ranking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[56] Li Xu,et al. Hierarchical Saliency Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[57] Deva Ramanan,et al. Self-Paced Learning for Long-Term Tracking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[58] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[59] Vladimir Kolmogorov,et al. "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..