Summary of Overcoming the Pitfalls Of Vision-language Model Finetuning For Ood Generalization, by Yuhang Zang et al.
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalizationby Yuhang Zang, Hanlin Goh, Josh…
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalizationby Yuhang Zang, Hanlin Goh, Josh…
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalizationby Yikang Wei, Yahong HanFirst submitted to…
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalizationby Guanglin Zhou, Zhongyi Han, Shiming Chen,…
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalizationby Kunyu Peng, Di Wen,…
Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models,…
Meta Curvature-Aware Minimization for Domain Generalizationby Ziyang Chen, Yiwen Ye, Feilong Tang, Yongsheng Pan, Yong…
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Trainingby Milad Soltany, Farhad Pourpanah, Mahdiyar…
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learningby Lulu Zhao, Weihao Zeng, Xiaofeng Shi,…
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Modelsby Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe…
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classificationby Zhu Han, Ce Zhang, Lianru…