1 citations · 1 across the 4 of their papers we have counts for
5 papers
Collaborative Low-Rank Adaptation for Pre-Trained Vision Transformers
Zheng Liu, Jinchao Zhu, Gao Huang
Low-rank adaptation (LoRA) has achieved remarkable success in fine-tuning pre-trained vision transformers for various downstream tasks. Existing studies mainly focus on exploring m…
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu, Jinchao Zhu, Nannan Li +1
Parameter-efficient transfer learning (PETL) has shown great potential in adapting a vision transformer (ViT) pre-trained on large-scale datasets to various downstream tasks. Exist…
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies
Jinchao Zhu, Yuxuan Wang, Siyuan Pan +3
The Stable Diffusion Model (SDM) is a prevalent and effective model for text-to-image (T2I) and image-to-image (I2I) generation. Despite various attempts at sampler optimization, m…
Progressive Confident Masking Attention Network for Audio-Visual Segmentation
Yuxuan Wang, Jinchao Zhu, Feng Dong +1
Audio and visual signals typically occur simultaneously, and humans possess an innate ability to correlate and synchronize information from these two modalities. Recently, a challe…
Interactive Context-Aware Network for RGB-T Salient Object Detection
Yuxuan Wang, Feng Dong, Jinchao Zhu
Salient object detection (SOD) focuses on distinguishing the most conspicuous objects in the scene. However, most related works are based on RGB images, which lose massive useful i…