GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

Analyzing the Effects of Lightning Strike on Distribution Transformer Failure via Geographically and Temporally Weighted Regression

Abstract: Due to the aging of the power systems, it is one of the important issues to identify the remaining useful life (RUL) of the power facilities including the environmental effects for the ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
IEEE

Probabilistic Equivalence of Distribution Network Considering Characteristic of PV Power Forecast Error

Abstract: The uncertainty of photovoltaic (PV) changes the characteristics of the distribution network, making it more random and complex. Therefore, an equivalence of distribution network that can ...