While recent test-time adaptations exhibit efficacy by adjusting batch normalization to narrow domain disparities, their effectiveness diminishes with realistic mini-batches due to inaccurate target ...

Abstract: In real-world scenarios, the number of training samples across classes usually subjects to a long-tailed distribution. The conventionally trained network may achieve unexpected inferior ...

FFmpeg Batch AV Converter is an ffmepg gui, a front-end for Windows and Linux using Wine-Mono, that allows the use of the full potential of ffmpeg command line with a few mouse clicks in a convenient ...

Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent studies suggest ...

Two Illinois State University students were among six people wounded in a mass shooting in downstate Normal, Illinois, early Sunday. Normal police said on social media that at 2:40 a.m., they were ...