2 papers
cs.CV2024
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
Yuncheng Yang, Chuyan Zhang, Zuopeng Yang +6
Prompt learning is effective for fine-tuning foundation models to improve their generalization across a variety of downstream tasks. However, the prompts that are independently opt…
cs.CV2024
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation
Xin Lin, Chong Shi, Yibing Zhan +3
Dynamic scene graph generation (SGG) focuses on detecting objects in a video and determining their pairwise relationships. Existing dynamic SGG methods usually suffer from several…