Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...

Abstract: Previous knowledge distillation (KD) methods for object detection mostly focus on feature imitation instead of mimicking the prediction logits due to its inefficiency in distilling the ...

SNS operations in 2026 clearly mark the end of the era where "increasing post volume leads to growth." Platform algorithms have shifted their focus from superficial "likes" to deep engagement metrics ...

Synthesizing realistic audio, images, and videos using algorithms has always been essential in Signal Processing, Computer Graphics, and Computer Vision. When using pre-artificial intelligence (AI) ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Mirra Andreeva didn't just win her first Grand Slam on Saturday in Paris, she turned a potential fairy tale into a straight-line coronation. The 19-year-old Russian beat Polish qualifier Maja ...

Abstract: Recently, test-time adaptation has attracted wide interest in the context of vision-language models for image classification. However, to the best of our knowledge, the problem is completely ...

For anti-minimalists, however, celebrity nail artist Loi Lien says a playful spin on neon is the way to go. “Whether that’s stripes, polka dots, or mixed color combinations, there’s so much room for ...

NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT. NanoSAM is trained by distilling the MobileSAM ...