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In this article, we introduce the solution we used in the VSPW 2021Challenge. Our experiments are based on two baseline models, Swin Transformerand MaskFormer. To further boost performance, we adopt stochastic weightaveraging technique and design hierarchical ensemble strategy. Without usingany external semantic segmentation dataset, our solution ranked the 5th placein the private leaderboard. Besides, we have some interesting attempts totackle long-tail recognition and overfitting issues, which achieves improvementon val subset. Maybe due to distribution difference, these attempts don't workon test subset. We will also introduce these attempts and hope to inspire otherresearchers.

5th Place Solution for VSPW 2021 Challenge