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1908.00858
Cited By
Distilling Knowledge From a Deep Pose Regressor Network
IEEE International Conference on Computer Vision (ICCV), 2019
2 August 2019
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Yasin Almalioglu
Andrew Markham
A. Trigoni
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Papers citing
"Distilling Knowledge From a Deep Pose Regressor Network"
46 / 46 papers shown
Fast and accurate neural reflectance transformation imaging through knowledge distillation
Tinsae G. Dulecha
Leonardo Righetto
Ruggero Pintus
Enrico Gobbetti
Andrea Giachetti
3DH
290
2
0
28 Oct 2025
Collaborative Learning-Enhanced Lightweight Models for Predicting Arterial Blood Pressure Waveform in a Large-scale Perioperative Dataset
Wentao Li
Yonghu He
Kun Gao
Qing Liu
Yali Zheng
Yali Zheng
88
0
0
07 Aug 2025
Sim2Real Diffusion: Leveraging Foundation Vision Language Models for Adaptive Automated Driving
Chinmay Vilas Samak
Tanmay Vilas Samak
Bing Li
Venkat Krovi
255
0
0
30 Jun 2025
Knowledge Distillation Framework for Accelerating High-Accuracy Neural Network-Based Molecular Dynamics Simulations
Naoki Matsumura
Yuta Yoshimoto
Yuto Iwasaki
Meguru Yamazaki
Yasufumi Sakai
278
0
0
18 Jun 2025
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
...
Zhenghua Chen
M. Aly
Jie Lin
Ruibing Jin
Xiaoli Li
347
8
0
09 May 2024
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection
Jiajia Li
Dong Chen
Xunyuan Yin
Zhao Li
233
20
0
06 Mar 2024
TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation
Sangwon Choi
Daejune Choi
Duksu Kim
189
9
0
22 Feb 2024
Deep Learning for Visual Localization and Mapping: A Survey
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Changhao Chen
Bing Wang
Chris Xiaoxuan Lu
Niki Trigoni
Andrew Markham
HAI
278
64
0
27 Aug 2023
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
IEEE International Conference on Computer Vision (ICCV), 2023
Shujie Zhang
Tianyue Zheng
Zhe Chen
Jingzhi Hu
Abdelwahed Khamis
Jiajun Liu
Jun Luo
333
11
0
20 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
426
46
0
08 Aug 2023
Continual Learning in Predictive Autoscaling
International Conference on Information and Knowledge Management (CIKM), 2023
Hongyan Hao
Zhixuan Chu
Shiyi Zhu
Gangwei Jiang
Yan Wang
Caigao Jiang
James Y. Zhang
Wei Jiang
Siqiao Xue
Junqing Zhou
199
6
0
29 Jul 2023
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Neural Information Processing Systems (NeurIPS), 2023
Filip Ekstrom Kelvinius
D. Georgiev
Artur Toshev
Johannes Gasteiger
313
15
0
26 Jun 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Xuemin Hu
Shen Li
Ting Huang
Bo Tang
Rouxing Huai
Long Chen
366
124
0
02 May 2023
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
NagaGayathri Matcha
Sriprabha Ramanarayanan
Mohammad Al Fahim
S. RahulG
Keerthi Ram
M. Sivaprakasam
328
2
0
11 Apr 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
Computer Vision and Pattern Recognition (CVPR), 2023
Aneeshan Sain
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Soumitri Chattopadhyay
Tao Xiang
Yi-Zhe Song
309
28
0
24 Mar 2023
Deep Learning for Inertial Positioning: A Survey
Changhao Chen
Xianfei Pan
260
110
0
07 Mar 2023
Synthetic data generation method for data-free knowledge distillation in regression neural networks
Expert systems with applications (ESWA), 2023
Tianxun Zhou
K. Chiam
323
12
0
11 Jan 2023
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution
IEEE Access (IEEE Access), 2022
Hye-Min Moon
Jinwoo Jeong
Sungjei Kim
299
2
0
29 Nov 2022
Teacher-Student Architecture for Knowledge Learning: A Survey
Chengming Hu
Xuan Li
Dan Liu
Xi Chen
Ju Wang
Xue Liu
307
44
0
28 Oct 2022
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study
IEEE Robotics and Automation Letters (RA-L), 2021
Hongbin Lin
Qian Gao
Xiangyu Chu
Qi Dou
Anton Deguet
Peter Kazanzides
K. W. S. Au
AI4CE
217
8
0
04 Oct 2022
Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume Prediction
Lei Li
Zhiyuan Zhang
Ruihan Bao
Keiko Harimoto
Xu Sun
253
4
0
04 Aug 2022
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
Computer Vision and Pattern Recognition (CVPR), 2022
Yen-Cheng Liu
Chih-Yao Ma
Z. Kira
253
136
0
19 Jun 2022
Distributed Training for Deep Learning Models On An Edge Computing Network Using ShieldedReinforcement Learning
IEEE International Conference on Distributed Computing Systems (ICDCS), 2022
Tanmoy Sen
Haiying Shen
OffRL
203
5
0
01 Jun 2022
Knowledge distillation with error-correcting transfer learning for wind power prediction
Hao Chen
105
7
0
01 Apr 2022
Tiny Object Tracking: A Large-scale Dataset and A Baseline
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yabin Zhu
Chenglong Li
Yaoqi Liu
Tianlin Li
Jin Tang
Bin Luo
Zhixiang Huang
ObjD
211
40
0
11 Feb 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
242
1
0
10 Dec 2021
Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks
T. Getu
250
2
0
25 Nov 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
174
12
0
25 Nov 2021
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation
Moussa Kamal Eddine
Guokan Shang
A. Tixier
Michalis Vazirgiannis
183
35
0
16 Oct 2021
Continual Learning for Image-Based Camera Localization
Shuzhe Wang
Zakaria Laskar
Iaroslav Melekhov
Xiaotian Li
Arno Solin
CLL
227
29
0
20 Aug 2021
RAM-VO: Less is more in Visual Odometry
Iury Cleveston
Esther L. Colombini
173
1
0
07 Jul 2021
Few-Shot Learning with a Strong Teacher
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
342
74
0
01 Jul 2021
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
IEEE Transactions on robotics (TRO), 2021
Muhamad Risqi U. Saputra
Chris Xiaoxuan Lu
Pedro Porto Buarque de Gusmão
Bing Wang
Andrew Markham
Niki Trigoni
269
49
0
15 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Expert systems with applications (ESWA), 2021
Xin Ding
Z. J. Wang
Zuheng Xu
Z. Jane Wang
William J. Welch
449
23
0
07 Apr 2021
Unsupervised Domain Expansion for Visual Categorization
Jie Wang
Kaibin Tian
Dayong Ding
Gang Yang
Xirong Li
249
11
0
01 Apr 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
International Conference on Learning Representations (ICLR), 2021
Helong Zhou
Liangchen Song
Jiajie Chen
Ye Zhou
Guoli Wang
Junsong Yuan
Qian Zhang
393
209
0
01 Feb 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
AAAI Conference on Artificial Intelligence (AAAI), 2020
Alexander Rodríguez
Nikhil Muralidhar
B. Adhikari
Anika Tabassum
Naren Ramakrishnan
B. Prakash
LLMSV
164
28
0
23 Sep 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
European Conference on Computer Vision (ECCV), 2020
Xinghao Chen
Yiman Zhang
Yunhe Wang
Han Shu
Chunjing Xu
Chang Xu
VGen
339
65
0
10 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
214
5
0
30 Jun 2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Changhao Chen
Binghai Wang
Chris Xiaoxuan Lu
A. Trigoni
Andrew Markham
385
152
0
22 Jun 2020
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
2.1K
3,976
0
09 Jun 2020
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
International Conference on Medical Imaging with Deep Learning (MIDL), 2020
Balamurali Murugesan
S. Vijayarangan
Kaushik Sarveswaran
Keerthi Ram
M. Sivaprakasam
159
20
0
11 Apr 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Computer Vision and Pattern Recognition (CVPR), 2020
Dongdong Wang
Yandong Li
Liqiang Wang
Boqing Gong
182
51
0
31 Mar 2020
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
IEEE International Joint Conference on Neural Network (IJCNN), 2020
H. Felix
Walber M. Rodrigues
David Macêdo
Francisco Simões
Adriano Oliveira
Veronica Teichrieb
Cleber Zanchettin
3DPC
280
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
206
5
0
27 Mar 2020
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
IEEE Robotics and Automation Letters (RA-L), 2019
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Chris Xiaoxuan Lu
Yasin Almalioglu
Stefano Rosa
Changhao Chen
Johan Wahlström
Wei Wang
Andrew Markham
Niki Trigoni
314
72
0
16 Sep 2019
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