Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
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Abel Gonzalez-Garcia | Peng Zhang | Lichao Zhang | Yufei Zha | Wei Huang | Yanning Zhang | Jingxian Sun | Yanning Zhang | Abel Gonzalez-Garcia | Yufei Zha | Jingxian Sun | Wei Huang | Peng Zhang | Lichao Zhang
[1] Fahad Shahbaz Khan,et al. Synthetic Data Generation for End-to-End Thermal Infrared Tracking , 2018, IEEE Transactions on Image Processing.
[2] Michael Felsberg,et al. ATOM: Accurate Tracking by Overlap Maximization , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[4] Fei Wang,et al. Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[5] Jiaolong Xu,et al. Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison , 2016, Sensors.
[6] Hong-Yuan Mark Liao,et al. YOLOv4: Optimal Speed and Accuracy of Object Detection , 2020, ArXiv.
[7] Bohyung Han,et al. Learning Multi-domain Convolutional Neural Networks for Visual Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Zhenyu He,et al. LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark , 2020, ACM Multimedia.
[9] Zhenyu He,et al. Target-Aware Deep Tracking , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Zhenyu He,et al. Hierarchical spatial-aware Siamese network for thermal infrared object tracking , 2017, Knowl. Based Syst..
[11] Jianbing Shen,et al. Triplet Loss in Siamese Network for Object Tracking , 2018, ECCV.
[12] Qi Tian,et al. Multi-cue Correlation Filters for Robust Visual Tracking , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[14] Guillaume-Alexandre Bilodeau,et al. An iterative integrated framework for thermal-visible image registration, sensor fusion, and people tracking for video surveillance applications , 2012, Comput. Vis. Image Underst..
[15] Qiang Wang,et al. Fast Online Object Tracking and Segmentation: A Unifying Approach , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[17] Namil Kim,et al. Multispectral pedestrian detection: Benchmark dataset and baseline , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Michael Felsberg,et al. ECO: Efficient Convolution Operators for Tracking , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Min Li,et al. Infrared Target Tracking Based on Robust Low-Rank Sparse Learning , 2016, IEEE Geoscience and Remote Sensing Letters.
[20] Feng Li,et al. Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Jian Zhang,et al. Learning Local-Global Multi-Graph Descriptors for RGB-T Object Tracking , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[22] Wei Wu,et al. SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[24] Liying Zheng,et al. Thermal infrared pedestrian tracking using joint siamese network and exemplar prediction model , 2020, Pattern Recognit. Lett..
[25] Michael Felsberg,et al. Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[26] Ales Leonardis,et al. Visual Object Tracking Performance Measures Revisited , 2015, IEEE Transactions on Image Processing.
[27] Luca Bertinetto,et al. Fully-Convolutional Siamese Networks for Object Tracking , 2016, ECCV Workshops.
[28] Luca Bertinetto,et al. Staple: Complementary Learners for Real-Time Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Zhenyu He,et al. Multi-Task Driven Feature Models for Thermal Infrared Tracking , 2019, AAAI.
[30] R. Venkatesh Babu,et al. UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[31] Xin Wang,et al. Fast RGB-T Tracking via Cross-Modal Correlation Filters , 2019, Neurocomputing.
[32] Zhenyu He,et al. Deep convolutional neural networks for thermal infrared object tracking , 2017, Knowl. Based Syst..
[33] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Dong Wang,et al. Multi-modal visual tracking: Review and experimental comparison , 2020, Comput. Vis. Media.
[35] Ying Li,et al. Real-time infrared target tracking based on ℓ1 minimization and compressive features. , 2014, Applied optics.
[36] Sergio Escalera,et al. Multi-modal RGB–Depth–Thermal Human Body Segmentation , 2016, International Journal of Computer Vision.
[37] 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.
[38] Zhenyu He,et al. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results , 2016, ECCV Workshops.
[39] Jin Tang,et al. Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking , 2017, ACM Multimedia.
[40] Ming-Hsuan Yang,et al. CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Jiayi Ma,et al. Infrared and visible image fusion via gradient transfer and total variation minimization , 2016, Inf. Fusion.
[43] Jin Tang,et al. RGB-T Object Tracking: Benchmark and Baseline , 2018, Pattern Recognit..
[44] Gang Xiao,et al. SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks , 2019, IEEE Access.
[45] Yonglong Tian,et al. Contrastive Representation Distillation , 2019, ICLR.
[46] Rui Caseiro,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence High-speed Tracking with Kernelized Correlation Filters , 2022 .
[47] Qifeng Yu,et al. Dense structural learning for infrared object tracking at 200+ Frames per Second , 2017, Pattern Recognit. Lett..
[48] C S Asha,et al. Robust infrared target tracking using discriminative and generative approaches , 2017 .
[49] Liyi Dai,et al. Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[50] Thanh-Toan Do,et al. Compact Trilinear Interaction for Visual Question Answering , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[51] A. Aydin Alatan,et al. Evaluation of Feature Channels for Correlation-Filter-Based Visual Object Tracking in Infrared Spectrum , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[52] Zhenyu He,et al. Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking , 2019, IEEE Transactions on Multimedia.
[53] Rynson W. H. Lau,et al. VITAL: VIsual Tracking via Adversarial Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[54] Wenbing Tao,et al. Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[55] L. Gool,et al. Learning Discriminative Model Prediction for Tracking , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[56] Jiri Matas,et al. A Novel Performance Evaluation Methodology for Single-Target Trackers , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Henry Leung,et al. Object fusion tracking based on visible and infrared images: A comprehensive review , 2020, Inf. Fusion.
[58] Fan Yang,et al. LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Xin Zhao,et al. GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[60] Shengping Zhang,et al. Modality-correlation-aware sparse representation for RGB-infrared object tracking , 2020, Pattern Recognit. Lett..
[61] Liang Lin,et al. Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking. , 2016, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
[62] Zhenyu He,et al. PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark , 2018, IEEE Transactions on Multimedia.
[63] Jin Tang,et al. Quality-Aware Feature Aggregation Network for Robust RGBT Tracking , 2020, IEEE Transactions on Intelligent Vehicles.