10-shot image generation on Event-based Segmentation Dataset

Metric: mIoU (higher is better)

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#	Model↕	mIoU▼	Extra Data	Paper	Date↕	Code
1	Bimodal SegNet	87.05	No	Bimodal SegNet: Instance Segmentation Fusing Eve...	2023-03-20	Code
2	CMX	85.81	No	CMX: Cross-Modal Fusion for RGB-X Semantic Segme...	2022-03-09	Code
3	SA-Gate	84.08	No	Bi-directional Cross-Modality Feature Propagatio...	2020-07-17	Code
4	DeepLab	71.05	No	DeepLab: Semantic Image Segmentation with Deep C...	2016-06-02	Code
5	U-Net	64.7	No	U-Net: Convolutional Networks for Biomedical Ima...	2015-05-18	Code
6	FCN	59.6	No	Fully Convolutional Networks for Semantic Segmen...	2014-11-14	Code

#1Bimodal SegNetSOTA
87.05
mIoU· 2023-03-20
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping Code
#2CMXSOTA
85.81
mIoU· 2022-03-09
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers Code
#3SA-GateSOTA
84.08
mIoU· 2020-07-17
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation Code
#4DeepLabSOTA
71.05
mIoU· 2016-06-02
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Code
#5U-NetSOTA
64.7
mIoU· 2015-05-18
U-Net: Convolutional Networks for Biomedical Image Segmentation Code
#6FCNSOTA
59.6
mIoU· 2014-11-14
Fully Convolutional Networks for Semantic Segmentation Code