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Found 4 papers, 1 papers with code
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing
By providing the diffusion models with knowledge of the generated prompt and image mask, our models generate images with a superior understanding of instructions.
LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge
Experiments show that our model has achieved better logical performance, and the extracted logical knowledge can be effectively applied to other scenarios.
Unifying Visual and Vision-Language Tracking via Contrastive Learning
Single object tracking aims to locate the target object in a video sequence according to the state specified by different modal references, including the initial bounding box (BBOX), natural language (NL), or both (NL+BBOX).
Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation
However, previous works on feature distillation heavily rely on low-level feature information, while under-exploring the importance of high-level semantic information.
