ECCV 2024 "parameter-efficient fine-tuning" Papers
8 papers found
Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding
YIWEN TANG, Renrui Zhang, Jiaming Liu et al.
ECCV 2024poster
19
citations
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
XINYUAN GAO, Songlin Dong, Yuhang He et al.
ECCV 2024posterarXiv:2407.10281
30
citations
Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning
Zhengyi Fang, Yue Wang, Ran Yi et al.
ECCV 2024poster
5
citations
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei, Jiajun Cao, Yizhu Jin et al.
ECCV 2024posterarXiv:2311.17081
26
citations
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens
ECCV 2024posterarXiv:2403.09377
4
citations
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao, Xiaohan Ding, Juexiao Feng et al.
ECCV 2024posterarXiv:2407.10704
9
citations
Robustness Tokens: Towards Adversarial Robustness of Transformers
Brian Pulfer, Yury Belousov, Slava Voloshynovskiy
ECCV 2024posterarXiv:2503.10191
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Liting Lin, Heng Fan, Zhipeng Zhang et al.
ECCV 2024posterarXiv:2403.05231
92
citations