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05/19/2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Continual learning aims to enable a model to incrementally learn knowled...
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05/19/2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
Pre-trained vision-language models have inspired much research on few-sh...
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05/08/2023
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
Recently large-scale language-image models (e.g., text-guided diffusion ...
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11/28/2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Robust Model-Agnostic Meta-Learning (MAML) is usually adopted to train a...
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12/28/2021
Associative Adversarial Learning Based on Selective Attack
A human's attention can intuitively adapt to corrupted areas of an image...
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03/08/2021
