218 citations · 264 across the 23 of their papers we have counts for
6 papers · 1 filter
Understanding Robustness of Parameter-Efficient Tuning for Image Classification
Jiacheng Ruan, Xian Gao, Suncheng Xiang +3
Parameter-efficient tuning (PET) techniques calibrate the model's predictions on downstream tasks by freezing the pre-trained models and introducing a small number of learnable par…
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios
Jiacheng Ruan, Wenzhen Yuan, Zehao Lin +5
Large visual-language models (LVLMs) have achieved great success in multiple applications. However, they still encounter challenges in complex scenes, especially those involving ca…
Learning Collaborative Knowledge with Multimodal Representation for Polyp Re-Identification
Suncheng Xiang, Jiale Guan, Shilun Cai +2
Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras, which plays an important role…
iDAT: inverse Distillation Adapter-Tuning
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4
Adapter-Tuning (AT) method involves freezing a pre-trained model and introducing trainable adapter modules to acquire downstream knowledge, thereby calibrating the model for better…
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Jiacheng Ruan, Jincheng Li, Suncheng Xiang
In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long-range modeling cap…
Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition
Zeyu Li, Suncheng Xiang, Tong Yu +5
The recognition of underwater audio plays a significant role in identifying a vessel while it is in motion. Underwater target recognition tasks have a wide range of applications in…