Abstract: This paper addresses the problem of reconstructing a high-resolution hyperspectral image from a low-resolution multispectral observation. While spatial super-resolution and spectral ...

ABSTRACT: As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in ...

As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...

For example, in the upsampling and downsampling process of the feature fusion neck (i.e., FPN Network), the intermediate feature extraction layers interleaved between these operations have been ...

I wanted to bring attention to a potential alignment issue between the current TPT_Block implementation and the RhythmFormer paper (Section 3.3). The paper explicitly states: "The first TPT block does ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Arthur Gies Arthur Gies is an editor for Wirecutter's tech coverage. He's ...

School of Big Data, Zhuhai College of Science and Technology, Zhuhai, China ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal ...

Abstract: Internal waves (IWs), a significant phenomenon in various marine environments, play a crucial role in sustaining marine ecosystem balance. Accurate extraction of IWs information is essential ...

Thanks for answering the previous issue. Yes, It helped me to have clear view on the issue. In your code, the downsampling and upsampling are being done before training the data. I have been working ...