Classification on N-ImageNet (mini)

Metric: Accuracy (%) (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy (%)▼	Augmentations	Paper	Date↕	Code
1	Event Imge	61.42	No	N-ImageNet: Towards Robust, Fine-Grained Object ...	2021-12-02	Code
2	Event Histogram	61.02	No	N-ImageNet: Towards Robust, Fine-Grained Object ...	2021-12-02	Code
3	Timestamp Image	60.46	No	N-ImageNet: Towards Robust, Fine-Grained Object ...	2021-12-02	Code
4	DiST	59.74	No	N-ImageNet: Towards Robust, Fine-Grained Object ...	2021-12-02	Code
5	Sorted Time Surface	58.38	No	N-ImageNet: Towards Robust, Fine-Grained Object ...	2021-12-02	Code
6	Binary Event Image	53.52	No	N-ImageNet: Towards Robust, Fine-Grained Object ...	2021-12-02	Code

#1Event ImgeSOTA
61.42
Accuracy (%)· 2021-12-02
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Code
#2Event Histogram
61.02
Accuracy (%)· 2021-12-02
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Code
#3Timestamp Image
60.46
Accuracy (%)· 2021-12-02
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Code
#4DiST
59.74
Accuracy (%)· 2021-12-02
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Code
#5Sorted Time Surface
58.38
Accuracy (%)· 2021-12-02
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Code
#6Binary Event Image
53.52
Accuracy (%)· 2021-12-02
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Code