Real-world data usually suffers from severe class imbalance and long-tai...
Mixed-precision quantization (MPQ) suffers from time-consuming policy se...
Though denoising diffusion probabilistic models (DDPMs) have achieved
re...
The real-world data tends to be heavily imbalanced and severely skew the...
Image retrieval has become an increasingly appealing technique with broa...
The evaluation of 3D face reconstruction results typically relies on a r...
Deep hashing has shown promising performance in large-scale image retrie...
Exemplar-based colorization approaches rely on reference image to provid...
Real-world data universally confronts a severe class-imbalance problem a...
Spatiotemporal predictive learning (ST-PL) aims at predicting the subseq...
Extracting variation and spatiotemporal features via limited frames rema...