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cs.CV2024
Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong +2
Contemporary deep learning, characterized by the training of cumbersome neural networks on massive datasets, confronts substantial computational hurdles. To alleviate heavy data st…
cs.CV2024★ 5 cited
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
Muquan Li, Dongyang Zhang, Tao He +3
Data-free knowledge distillation (DFKD) has emerged as a pivotal technique in the domain of model compression, substantially reducing the dependency on the original training data.…
cs.CV2024
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning
Tao He, Tongtong Wu, Dongyang Zhang +3
Scene graph generation (SGG) endeavors to predict visual relationships between pairs of objects within an image. Prevailing SGG methods traditionally assume a one-off learning proc…