暂无分享,去创建一个
Brian C. Lovell | Kun Zhao | Meng Li | Can Peng | Sam Maksoud | B. Lovell | Meng Li | Can Peng | Kun Zhao | Sam Maksoud
[1] Qi Tian,et al. An End-to-End Architecture for Class-Incremental Object Detection with Knowledge Distillation , 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).
[2] Hao Chen,et al. FCOS: Fully Convolutional One-Stage Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[3] Razvan Pascanu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[4] Shalini Ghosh,et al. RILOD: near real-time incremental learning for object detection at the edge , 2019, SEC.
[5] Yee Whye Teh,et al. Progress & Compress: A scalable framework for continual learning , 2018, ICML.
[6] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[7] Jianping Gou,et al. Knowledge Distillation: A Survey , 2020, International Journal of Computer Vision.
[8] Cordelia Schmid,et al. Incremental Learning of Object Detectors without Catastrophic Forgetting , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[9] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Yoshua Bengio,et al. An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks , 2013, ICLR.
[11] OctoMiao. Overcoming catastrophic forgetting in neural networks , 2016 .
[12] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Hei Law,et al. CornerNet: Detecting Objects as Paired Keypoints , 2018, ECCV.
[14] Yan Lu,et al. Relational Knowledge Distillation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Christoph H. Lampert,et al. iCaRL: Incremental Classifier and Representation Learning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Michael McCloskey,et al. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem , 1989 .
[17] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[19] B. Lovell,et al. Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN , 2020, Pattern Recognit. Lett..
[20] Derek Hoiem,et al. Learning without Forgetting , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Xingyi Zhou,et al. Objects as Points , 2019, ArXiv.
[22] 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.
[23] Cordelia Schmid,et al. End-to-End Incremental Learning , 2018, ECCV.
[24] Tao Xiang,et al. Incremental Few-Shot Object Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Qingming Huang,et al. Corner Proposal Network for Anchor-free, Two-stage Object Detection , 2020, ECCV.
[26] Bing Li,et al. Knowledge Distillation via Instance Relationship Graph , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[28] Larry P. Heck,et al. Class-incremental Learning via Deep Model Consolidation , 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).