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Thanks for sharing ULIP and ULIP-2, they are great work!
I noticed that in ULIP-2, the zero-shot accuracy of PointBert is much higher than that of PointNeXt on ModelNet40. But after finetuning, the PointNeXt outperforms the PointBert on ScanObjectNN.
Could you provide some insights or other experiments to explain the discrepance? As we know, PointNeXt is the lateset published point cloud processing backbone, it should work better than PointBert in zero-shot classification in theory.
Thanks.
The text was updated successfully, but these errors were encountered:
Thanks for sharing ULIP and ULIP-2, they are great work!
I noticed that in ULIP-2, the zero-shot accuracy of PointBert is much higher than that of PointNeXt on ModelNet40. But after finetuning, the PointNeXt outperforms the PointBert on ScanObjectNN.
Could you provide some insights or other experiments to explain the discrepance? As we know, PointNeXt is the lateset published point cloud processing backbone, it should work better than PointBert in zero-shot classification in theory.
Thanks.
The text was updated successfully, but these errors were encountered: