Spiking Transformers for Event-based Single Object Tracking-Reference-Cited by-同舟云学术

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Spiking Transformers for Event-based Single Object Tracking

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zhang Jiqing¹,Dong Bo²,Zhang Haiwei¹,Ding Jianchuan¹,Heide Felix²,Yin Baocai¹,Yang Xin¹

Affiliation:

1. Dalian University of Technology

2. Princeton University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879994.pdf?arnumber=9879994

Reference51 articles.

1. Unraveling Mechanisms of Homeostatic Synaptic Plasticity

2. Spatiotemporal multiple persons tracking using Dynamic Vision Sensor

3. Swin trans-former: Hierarchical vision transformer using shifted windows;liu;ICCV,2021

4. Tripartite Information Mining and Integration for Image Matting

5. Event-based Action Recognition Using Motion Information and Spiking Neural Networks

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1. MixRGBX: Universal multi-modal tracking with symmetric mixed attention;Neurocomputing;2024-10

2. Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion;Neural Networks;2024-10

3. Spiking generative adversarial network with attention scoring decoding;Neural Networks;2024-10

4. Multi-scale full spike pattern for semantic segmentation;Neural Networks;2024-08

5. MINet: Modality interaction network for unified multi-modal tracking;Image and Vision Computing;2024-08

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