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Student-Research-Training-THU

删除31字节2018年2月22日 (四) 12:53
/* 备选 */
[x] The Case for Learned Index Structures, https://arxiv.org/abs/1712.01208.
 
 
Speech Recognition:
 
[x] State-of-the-art Speech Recognition With Sequence-to-Sequence Models, https://arxiv.org/abs/1712.01769.
 
 
Computer Vision:
 
[x] Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár, Panoptic Segmentation, https://arxiv.org/abs/1801.00868.
 
[x] Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick, '''Learning to Segment Every Thing''', https://arxiv.org/abs/1711.10370.
 
[x] Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He, '''Non-local Neural Networks''', https://arxiv.org/abs/1711.07971.
 
[x] Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick, '''Mask R-CNN''', ICCV 2017. https://arxiv.org/abs/1703.06870
*object instance segmentation
[x] Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár, Panoptic Segmentation, https://arxiv.org/abs/1801.00868. [x] Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick, '''Learning to Segment Every Thing''', https://arxiv.org/abs/1711.10370. [x] Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He, '''Non-local Neural Networks''', https://arxiv.org/abs/1711.07971. [x] Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick, '''Mask R-CNN''', ICCV 2017.https://arxiv.org/abs/1703.06870 
===对象检测===
==语音识别==
*Speech Recognition [x] State-of-the-art Speech Recognition With Sequence-to-Sequence Models, https://arxiv.org/abs/1712.01769. [z] Recent progresses in deep learning based acoustic models, 2017.
[z] Multichannel Signal Processing with Deep Neural Networks for Automatic Speech Recognition, TASLP 2017.
[z] DeepSpeech3 Exploring Neural Transducers for End-to-End Speech Recognition. https://arxiv.org/abs/1707.07413.
[z] Cold Fusion: Training Seq2Seq Models Together with Language Models, 2017. https://arxiv.org/abs/1708.06426.
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