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Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models
Haoyi Sun, Xiaoxiao Wang, Ning Mao +5
Vision-Language Models (VLMs) have shown remarkable capabilities in joint vision-language understanding, but their large scale poses significant challenges for deployment in resour…
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
Chunxiao Li, Xiaoxiao Wang, Meiling Li +5
With the rapid advancement of generative models, highly realistic image synthesis has posed new challenges to digital security and media credibility. Although AI-generated image de…
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
Chunxiao Li, Xiaoxiao Wang, Boming Miao +3
Image classification serves as the cornerstone of computer vision, traditionally achieved through discriminative models based on deep neural networks. Recent advancements have intr…
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
Boming Miao, Chunxiao Li, Xiaoxiao Wang +4
Diffusion models have achieved impressive success in generating photorealistic images, but challenges remain in ensuring precise semantic alignment with input prompts. Optimizing t…