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Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network

24 April 2023

Qinghai Guo

Papers citing "Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network"

34 / 34 papers shown

Title
Deep Directly-Trained Spiking Neural Networks for Object Detection Qiaoyi Su Yuhong Chou Yifan Hu Jianing Li Shijie Mei Ziyang Zhang Guoqiu Li ObjD 66 72 0 21 Jul 2023
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras Yannick Schnider Stanisław Woźniak Mathias Gehrig J. Lecomte Axel von Arnim Luca Benini Davide Scaramuzza A. Pantazi 79 16 0 14 Apr 2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow Haotian Liu Guang Chen Sanqing Qu Yanping Zhang Zhijun Li Alois C. Knoll Changjun Jiang 87 29 0 21 Mar 2023
Event Camera Data Pre-training Yan Yang Liyuan Pan Liu Liu 61 35 0 05 Jan 2023
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities Shristi Das Biswas Adarsh Kosta C. Liyanagedera M. Apolinario Kaushik Roy 85 19 0 19 Nov 2022
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales Charlotte Frenkel Giacomo Indiveri 64 101 0 20 Aug 2022
ESS: Learning Event-based Semantic Segmentation from Still Images Zhaoning Sun Nico Messikommer Daniel Gehrig Davide Scaramuzza 89 82 0 18 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 221 257 0 24 Feb 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network Lin Zhu Tianlin Li Yi Chang Jianing Li Tiejun Huang Yonghong Tian 81 98 0 25 Jan 2022
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation Lin Wang Yujeong Chae Sung-Hoon Yoon Tae-Kyun Kim Kuk-Jin Yoon 74 67 0 24 Nov 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 98 81 0 14 Oct 2021
StereoSpike: Depth Learning with a Spiking Neural Network Ulysse Rançon Javier Cuadrado-Anibarro Benoit R. Cottereau T. Masquelier 72 35 0 28 Sep 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks J. Hagenaars Federico Paredes-Valles Guido de Croon 72 139 0 03 Jun 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 208 500 0 08 Feb 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 76 528 0 29 Oct 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 169 531 0 11 Jul 2020
Semantic Image Synthesis with Spatially-Adaptive Normalization Taesung Park Ming-Yuan Liu Ting-Chun Wang Jun-Yan Zhu 175 2,695 0 18 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 104 1,244 0 28 Jan 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei SSeg 122 982 0 10 Jan 2019
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks Mohammad Mostafavi Lin Wang Yo-Sung Ho Kuk-Jin Yoon VGen GAN 55 206 0 20 Nov 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 80 662 0 16 Sep 2018
Accelerated physical emulation of Bayesian inference in spiking neural networks Á. F. Kungl Sebastian Schmitt Johann Klähn Paul Müller A. Baumbach ... V. Karasenko Andreas Grübl Johannes Schemmel K. Meier Mihai A. Petrovici 51 36 0 06 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 206 4,375 0 24 Jun 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 158 490 0 26 Mar 2018
DDD17: End-To-End DAVIS Driving Dataset Jonathan Binas Daniel Neil Shih-Chii Liu T. Delbruck 80 188 0 04 Nov 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 234 8,494 0 17 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 64 1,030 0 08 Jun 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.5K 14,618 0 07 Oct 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 180 3,714 0 27 Jul 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 435 10,541 0 21 Jul 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 273 18,284 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 755 37,927 0 20 May 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 218 4,898 0 22 Dec 2014