Abstract: Positional encoding is crucial for the Transformer to effectively process multi-modal feature information in multispectral object detection. However, existing studies often directly apply ...
Neural Radiance Fields (NeRF) have revolutionized novel view synthesis through volumetric scene representations, where positional encoding plays a critical role in high-frequency detail capture.
Thank you for your excellent work and for sharing your code! I have a question regarding the positional encoding strategy used in the model. From the code, I noticed that after obtaining the Sonata ...
Thx for nice practicing about DM. Actually, I'm really curious about why does not use 'Positional Encoding' (which was used in ViT or VanillaTransformer.. etc..) in self-attention layers? Is that any ...
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