The goal of AVA challenge is to provide vision-based benchmarks and methods relevant to accessibility. In this paper, we introduce the technical details of our submission to the CVPR2022 AVA Challenge. Firstly, we conducted some experiments to help employ proper model and data augmentation strategy for this task. Secondly, an effective training strategy was applied to improve the performance. Thirdly, we integrated the results from two different segmentation frameworks to improve the performance further. Experimental results demonstrate that our approach can achieve a competitive result on the AVA test set. Finally, our approach achieves 63.008\%AP@0.50:0.95 on the test set of CVPR2022 AVA Challenge.
翻译：AVA挑战的目标是提供与无障碍环境有关的基于愿景的基准和方法;在本文件中,我们介绍提交CVPR2022 AVA挑战文件的技术细节;首先,我们进行了一些实验,以帮助为这项任务采用适当的模型和数据扩充战略;其次,运用了有效的培训战略来改进绩效;第三,我们整合了两个不同分类框架的结果,以进一步改进绩效;实验结果表明,我们的方法可以在AVA测试集上取得竞争性结果;最后,我们的方法在CVPR2022 AVA挑战测试集上实现了63.008 AP@0.50:0.95。
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