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Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion
  Approach for Event Stream Recognition

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition

27 June 2024
Lan Chen
Dong Li
Xiao Wang
Pengpeng Shao
Wei Zhang
Yaowei Wang
Yonghong Tian
Jin Tang
ArXivPDFHTML

Papers citing "Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition"

5 / 5 papers shown
Title
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
255
5,353
0
11 Nov 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
267
1,486
0
09 Feb 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
109
314
0
08 Feb 2021
EventNet: Asynchronous Recursive Event Processing
EventNet: Asynchronous Recursive Event Processing
Yusuke Sekikawa
K. Hara
Hideo Saito
33
84
0
07 Dec 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
196
7,390
0
02 Dec 2016
1