暂无分享,去创建一个
Ling Shao | Mubarak Shah | Sanath Narayan | Akshita Gupta | Salman Khan | Fahad Shahbaz Khan | M. Shah | F. Khan | L. Shao | S. Khan | Salman Hameed Khan | Akshita Gupta | Sanath Narayan | Ling Shao
[1] Samy Bengio,et al. Zero-Shot Learning by Convex Combination of Semantic Embeddings , 2013, ICLR.
[2] In-So Kweon,et al. CBAM: Convolutional Block Attention Module , 2018, ECCV.
[3] Xiu-Shen Wei,et al. Multi-Label Image Recognition With Graph Convolutional Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Grigorios Tsoumakas,et al. Multi-Label Classification: An Overview , 2007, Int. J. Data Warehous. Min..
[5] 知秀 柴田. 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding , 2020 .
[6] Matthias Bethge,et al. Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet , 2019, ICLR.
[7] Joost van de Weijer,et al. Orderless Recurrent Models for Multi-Label Classification , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Gabriel Kreiman,et al. Putting Visual Object Recognition in Context , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Ling Shao,et al. Generative Multi-Label Zero-Shot Learning , 2021, ArXiv.
[10] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[11] Yann Dauphin,et al. Pay Less Attention with Lightweight and Dynamic Convolutions , 2019, ICLR.
[12] Byoung-Tak Zhang,et al. Bilinear Attention Networks , 2018, NeurIPS.
[13] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[14] Abhinav Gupta,et al. Learning from Noisy Large-Scale Datasets with Minimal Supervision , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Wei Xu,et al. CNN-RNN: A Unified Framework for Multi-label Image Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Yu-Chiang Frank Wang,et al. Multi-label Zero-Shot Learning with Structured Knowledge Graphs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Cordelia Schmid,et al. Label-Embedding for Image Classification , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Lihi Zelnik-Manor,et al. Semantic Diversity Learning for Zero-Shot Multi-label Classification , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] Serge J. Belongie,et al. Context based object categorization: A critical survey , 2010, Comput. Vis. Image Underst..
[20] Sid Ying-Ze Bao,et al. Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification , 2020, AAAI.
[21] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[22] Haofeng Zhang,et al. Near-Real Feature Generative Network for Generalized Zero-Shot Learning , 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).
[23] Ling Shao,et al. Deep transductive network for generalized zero shot learning , 2020, Pattern Recognit..
[24] Ling Shao,et al. Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Julien Mairal,et al. Emerging Properties in Self-Supervised Vision Transformers , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] Cees Snoek,et al. COSTA: Co-Occurrence Statistics for Zero-Shot Classification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Bernt Schiele,et al. Feature Generating Networks for Zero-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Yiming Yang,et al. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context , 2019, ACL.
[29] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[30] Matthias Bethge,et al. ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness , 2018, ICLR.
[31] Jie Qin,et al. Invertible Zero-Shot Recognition Flows , 2020, ECCV.
[32] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[33] Johannes Fürnkranz,et al. Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification , 2017, NIPS.
[34] Ashish Vaswani,et al. Stand-Alone Self-Attention in Vision Models , 2019, NeurIPS.
[35] Yunchao Wei,et al. CCNet: Criss-Cross Attention for Semantic Segmentation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[36] Jason Weston,et al. WSABIE: Scaling Up to Large Vocabulary Image Annotation , 2011, IJCAI.
[37] Fahad Shahbaz Khan,et al. Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification , 2020, ECCV.
[38] A. Torralba,et al. The role of context in object recognition , 2007, Trends in Cognitive Sciences.
[39] Ling Shao,et al. A plug-in attribute correction module for generalized zero-shot learning , 2021, Pattern Recognit..
[40] Yangqing Jia,et al. Deep Convolutional Ranking for Multilabel Image Annotation , 2013, ICLR.
[41] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[42] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[43] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[44] Yu Qiao,et al. Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition , 2020, ECCV.
[45] Dat T. Huynh,et al. A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).