GET: Group Event Transformer for Event-Based Vision

• URL: http://arxiv.org/abs/2310.02642v1
• Date: Wed, 4 Oct 2023 08:02:33 GMT
• Title: GET: Group Event Transformer for Event-Based Vision
• Authors: Yansong Peng and Yueyi Zhang and Zhiwei Xiong and Xiaoyan Sun and Feng Wu
• Abstract summary: Event cameras are a type of novel neuromorphic sen-sor that has been gaining increasing attention. We propose a novel Group-based vision Transformer backbone for Event-based vision, called Group Event Transformer (GET) GET de-couples temporal-polarity information from spatial infor-mation throughout the feature extraction process.
• Score: 82.312736707534
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Event cameras are a type of novel neuromorphic sen-sor that has been gaining increasing attention. Existing event-based backbones mainly rely on image-based designs to extract spatial information within the image transformed from events, overlooking important event properties like time and polarity. To address this issue, we propose a novel Group-based vision Transformer backbone for Event-based vision, called Group Event Transformer (GET), which de-couples temporal-polarity information from spatial infor-mation throughout the feature extraction process. Specifi-cally, we first propose a new event representation for GET, named Group Token, which groups asynchronous events based on their timestamps and polarities. Then, GET ap-plies the Event Dual Self-Attention block, and Group Token Aggregation module to facilitate effective feature commu-nication and integration in both the spatial and temporal-polarity domains. After that, GET can be integrated with different downstream tasks by connecting it with vari-ous heads. We evaluate our method on four event-based classification datasets (Cifar10-DVS, N-MNIST, N-CARS, and DVS128Gesture) and two event-based object detection datasets (1Mpx and Gen1), and the results demonstrate that GET outperforms other state-of-the-art methods. The code is available at https://github.com/Peterande/GET-Group-Event-Transformer.

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