4 accepted papers
Existing methods to fine-tune LLMs like Adapter Prefix-tuning and LoRA which introduce extra modules or additional input sequences to inject new skills or knowledge may compromise the innate abilities of LLMs. In this paper we propose LLaMA-Excitor a lightweight method that stimulates the LLMs' pote…
Significant advancements in video question answering (VideoQA) have been made thanks to thriving large image-language pretraining frameworks. Although these image-language models can efficiently represent both video and language branches they typically employ a goal-free vision perception process an…
Teeth localization segmentation and labeling in 2D images have great potential in modern dentistry to enhance dental diagnostics treatment planning and population-based studies on oral health. However general instance segmentation frameworks are incompetent due to 1) the subtle differences between s…
Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions. As a result, researchers have been devoted to deepfake detection. Previous studies have identified the importance of local low-level cues and temporal i…