TKD: Temporal Knowledge Distillation for Active Perception
暂无分享,去创建一个
[1] Song Han,et al. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding , 2015, ICLR.
[2] Yezhou Yang,et al. Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization , 2017, J. Vis. Commun. Image Represent..
[3] Yingyan Lou,et al. Crossroads+ , 2019, ACM Trans. Cyber Phys. Syst..
[4] Cordelia Schmid,et al. Actions in context , 2009, CVPR.
[5] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[6] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[7] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[8] Srikanth Saripalli,et al. Drone Detection Using Depth Maps , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[9] Mubarak Shah,et al. Real-World Anomaly Detection in Surveillance Videos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Rich Caruana,et al. Do Deep Nets Really Need to be Deep? , 2013, NIPS.
[11] Lucas Beyer,et al. Detection- Tracking for Efficient Person Analysis: The DetTA Pipeline , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[12] Wei Liu,et al. DSSD : Deconvolutional Single Shot Detector , 2017, ArXiv.
[13] Yezhou Yang,et al. Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization , 2017, ArXiv.
[14] Xin Ye,et al. Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[15] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[16] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[17] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[18] Zhiguo Cao,et al. When Unsupervised Domain Adaptation Meets Tensor Representations , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Jitendra Malik,et al. Cross Modal Distillation for Supervision Transfer , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Yezhou Yang,et al. A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA , 2019, 2019 IEEE High Performance Extreme Computing Conference (HPEC).
[21] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[22] Xin Ye,et al. GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment , 2018, IEEE Robotics and Automation Letters.
[23] M. Webster,et al. Visual adaptation: Neural, psychological and computational aspects , 2007, Vision Research.
[24] Yiran Chen,et al. Learning Structured Sparsity in Deep Neural Networks , 2016, NIPS.
[25] Cordelia Schmid,et al. Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Trevor Darrell,et al. Deep Domain Confusion: Maximizing for Domain Invariance , 2014, CVPR 2014.
[27] Luc Van Gool,et al. Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[28] Leila Bowman,et al. in the office , 1961 .
[29] Lakshmish Ramaswamy,et al. Edge-Based Anomalous Sensor Placement Detection for Participatory Sensing of Urban Heat Islands , 2018, 2018 IEEE International Smart Cities Conference (ISC2).
[30] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[31] Ran El-Yaniv,et al. Binarized Neural Networks , 2016, NIPS.
[32] Jianxiong Xiao,et al. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Tony X. Han,et al. Learning Efficient Object Detection Models with Knowledge Distillation , 2017, NIPS.
[35] Cordelia Schmid,et al. Learning object class detectors from weakly annotated video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Yoshua Bengio,et al. FitNets: Hints for Thin Deep Nets , 2014, ICLR.
[37] Luc Van Gool,et al. Domain Adaptive Faster R-CNN for Object Detection in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Song Han,et al. Learning both Weights and Connections for Efficient Neural Network , 2015, NIPS.
[39] Aviral Shrivastava,et al. RIM: Robust Intersection Management for Connected Autonomous Vehicles , 2018, 2018 IEEE Real-Time Systems Symposium (RTSS).
[40] Subhransu Maji,et al. Adapting Models to Signal Degradation using Distillation , 2017, BMVC.
[41] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[42] Lakshmish Ramaswamy,et al. SCOUTS: A Smart Community Centric Urban Heat Monitoring Framework , 2018, ARIC@SIGSPATIAL.
[43] M. Webster. Visual Adaptation. , 2015, Annual review of vision science.
[44] Gregory D. Hager,et al. Learning convolutional action primitives for fine-grained action recognition , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[45] Deva Ramanan,et al. Online Model Distillation for Efficient Video Inference , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[46] 黄耀春. The Pursuit of Happyness赏析 , 2010 .
[47] Ming Yang,et al. Compressing Deep Convolutional Networks using Vector Quantization , 2014, ArXiv.
[48] Rakesh Mehta,et al. Object detection at 200 Frames Per Second , 2018, ECCV Workshops.
[49] Guang-Zhong Yang,et al. Deep Learning for Health Informatics , 2017, IEEE Journal of Biomedical and Health Informatics.
[50] 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.
[51] Jie Tang,et al. Enabling Deep Learning on IoT Devices , 2017, Computer.
[52] Ali Farhadi,et al. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks , 2016, ECCV.
[53] Mehdi Kamal,et al. POLAR: A Pipelined/Overlapped FPGA-Based LSTM Accelerator , 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[54] Georgios Fainekos,et al. Worst-case Satisfaction of STL Specifications Using Feedforward Neural Network Controllers , 2019, ACM Trans. Embed. Comput. Syst..