Distilling Knowledge From a Deep Pose Regressor Network

Distilling Knowledge From a Deep Pose Regressor Network

2 August 2019

Muhamad Risqi U. Saputra

Pedro Porto Buarque de Gusmão

Yasin Almalioglu

Papers citing "Distilling Knowledge From a Deep Pose Regressor Network"

16 / 16 papers shown

Title
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 26 16 0 08 Aug 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR Aneeshan Sain A. Bhunia Subhadeep Koley Pinaki Nath Chowdhury Soumitri Chattopadhyay Tao Xiang Yi-Zhe Song 30 18 0 24 Mar 2023
Deep Learning for Inertial Positioning: A Survey Changhao Chen Xianfei Pan 24 49 0 07 Mar 2023
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 29 35 0 28 Oct 2022
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study Hongbin Lin Qian Gao Xiangyu Chu Qi Dou Anton Deguet Peter Kazanzides K. W. S. Au AI4CE 32 7 0 04 Oct 2022
Distributed Training for Deep Learning Models On An Edge Computing Network Using ShieldedReinforcement Learning Tanmoy Sen Haiying Shen OffRL 13 5 0 01 Jun 2022
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment Zhuangzhuang Dai Muhamad Risqi U. Saputra Chris Xiaoxuan Lu Andrew Markham A. Trigoni 37 1 0 10 Dec 2021
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion Nobuhiko Wakai Satoshi Sato Yasunori Ishii Takayoshi Yamashita 19 8 0 25 Nov 2021
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation Moussa Kamal Eddine Guokan Shang A. Tixier Michalis Vazirgiannis 26 25 0 16 Oct 2021
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks Muhamad Risqi U. Saputra Chris Xiaoxuan Lu Pedro Porto Buarque de Gusmão Bing Wang Andrew Markham Niki Trigoni 37 32 0 15 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 41 22 0 07 Apr 2021
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen Yiman Zhang Yunhe Wang Han Shu Chunjing Xu Chang Xu VGen 21 54 0 10 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model Dongdong Wang Yandong Li Liqiang Wang Boqing Gong 29 48 0 31 Mar 2020
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation H. Felix Walber M. Rodrigues David Macêdo Francisco Simões Adriano Oliveira Veronica Teichrieb Cleber Zanchettin 3DPC 27 9 0 30 Mar 2020
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images Juil Sock Guillermo Garcia-Hernando Anil Armagan Tae-Kyun Kim 27 5 0 27 Mar 2020