경량화 썸네일형 리스트형 [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers https://arxiv.org/abs/2406.17343 , CVPR 2025 (Accepted) Q-DiT: Accurate Post-Training Quantization for Diffusion TransformersRecent advancements in diffusion models, particularly the architectural transformation from UNet-based models to Diffusion Transformers (DiTs), significantly improve the quality and scalability of image and video generation. However, despite their impressiarxiv.org Abstrac.. 더보기 [Neurocomputing 2025] A lightweight video anomaly detection model with weak supervision and adaptive instance selection https://www.sciencedirect.com/science/article/pii/S0925231224014693 Neurocomputing (IF: 5.5, Q1) A lightweight video anomaly detection model with weak supervision and adaptive instance selectionVideo anomaly detection is to determine whether there are any abnormal events, behaviors or objects in a given video, which enables effective and inte…www.sciencedirect.com AbstractWeakly supervised vid.. 더보기 이전 1 다음
