DAPSAM not only utilizes a more generalization-friendly adapterto fine-tune the large model, but also introduces a self-learning prototype-based prompt generator to enhance model's generalization ability. Specifically, we first merge the important low-level features into intermediate features before ...
Meanwhile, this study proposed an iterative loop strategy for the prompt module in U-SAM. This strategy gradually improves the accuracy of target prompt labels and solves the problem of no prompt labels in the target data. Additionally, a novel method of using oblique boxes instead of regular ...
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction (AAAI 2024) Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang [arXiv] [Page] [BibTeX] Environment setup conda env create -f environment.yml conda activate svd...
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Prompt and effective fire detection is essential for protecting these vital natural resources, aligning with these global objectives [6]. The importance of rapid-fire detection in forest management is paramount. Timely identification enables a quick response, minimizing fire damage and resource loss. ...
aprompt and equitable 提示和公平[translate] a该算法从隐含层神经元个数的确定方法、权重和阀值的初始值域、误差函数和自适应学习速率等方面对误差反传算法进行改进,以达到提高网络的收敛速度的目的;同时引入遗传算法,再次,该文根据非线性时间序列预测原理,提出股价预测模型。 This algorithm from concealment level neu...
HybridPrompt: Domain-Aware Prompting for Cross-Domain Few-Shot Learning Cross-Domain Few-Shot Learning (CD-FSL) aims at recognizing unseen classes from target domains that vastly differ from training classes from source domains... J Wu,T Zhang,Y Zhang - 《International Journal of Computer Vision...