Dimensions overall score 8.0

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• Existing visual Mamba models are inherently sensitive to image rotations due to the absence of rotational symmetry in their design.limitation 90%
• EQ-VMamba is the first rotation equivariant visual Mamba architecture for vision tasks.method 95%
• EQ-VMamba achieves end-to-end rotation equivariance throughout the network.technical 85%
• EQ-VMamba requires approximately 50% fewer parameters than non-equivariant baselines.result 90%
• EQ-VMamba achieves superior or competitive performance across high-level, mid-level, and low-level vision tasks.result 85%
• Embedding rotation equivariance enhances overall performance with significantly improved parameter efficiency.result 80%
• The core components of EQ-VMamba include a rotation equivariant cross-scan strategy and group Mamba blocks.method 90%

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