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PMF-ResNet50 on SemanticKITTI Validation Set? #6
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Unfortunately, using ResNet-50/101/152 on SemanticKITTI did not bring improvements to the model performance as we only use a limited subset (front-view only) of SemanticKITTI for training. Recently, we found that using conformer as the backbone of the image stream can bring a 2.2% improvement on SemanticKITTI. You can try more backbones to improve the performance~ |
The model of conformer is pre-trained on ImageNet-21k and then fine-tuned on ImageNet-1k. |
Thanks a lot! As for your mentioned conformer, I will give it a try :-) |
你好,我尝试使用conformer代替原本的resnet34,并且也加载了预训练权重,目前看到一影像流的分割精度很低,比resnet要差,请问您当时是怎样使用conformer的,有什么是我遗漏的吗?希望可以您进一步交流,这是我的qq1254952619 |
Hi~
Thanks for the open-source repo of your excellent work!
I notice that PMF-ResNet50 significantly outperforms PMF-ResNet34 on nuScenes Validation Set, and you even adopt ResNet101 on SensatUrban Test Set.
However, the result of PMF-ResNet50 (or deeper backbone) on SemanticKITTI Validation Set is unavailable. Did you try it before? Intuitively, it will also bring gains. Or did I miss something important?
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