Dataset distillation (DD) aims to synthesize a small dataset whose test performance is
comparable to a full dataset using the same model. State-of-the-art (SoTA) methods optimize …

Multi-task learning for dense prediction has emerged as a pivotal area in computer vision
enabling simultaneous processing of diverse yet interrelated pixel-wise prediction tasks …

In the realm of deep learning, the advent of large-scale pre-trained models has significantly
advanced computer vision and natural language processing. However, deploying these …

Quantization has emerged as a promising direction for model compression. Recently, data-
free quantization has been widely studied as a promising method to avoid privacy concerns …