State-of-the-art crowd counting models follow an encoder-decoder approach. Images are first processed by the encoder to extract features. Then, to account for perspective distortion, the highest-level ...

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather ...

The issue appears to be in the VAE decoder's skip connections where tensors of different spatial dimensions (26x26 vs 13x13) are being added together. The standalone difix inference works fine, but ...

It makes cuda graph usage be low and affect the decode performance. So I want know Why this scenario will happen, and how to avoid. related code as followed, you can see the condition should be ...