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07/04/2023
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation
Few-shot image generation (FSIG) aims to learn to generate new and diver...
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05/26/2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
Large vision-language models (VLMs) such as GPT-4 have achieved unpreced...
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03/17/2023
A Recipe for Watermarking Diffusion Models
Recently, diffusion models (DMs) have demonstrated their advantageous po...
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08/23/2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification
Conventional Few-shot classification (FSC) aims to recognize samples fro...
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06/29/2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
This work investigates the compatibility between label smoothing (LS) an...
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05/08/2022
A Closer Look at Few-shot Image Generation
Modern GANs excel at generating high quality and diverse images. However...
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07/17/2020
