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12/01/2022
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
We tackle open-world semantic segmentation, which aims at learning to se...
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03/21/2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Domain generalization (DG) aims to learn a generalized model to an unsee...
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12/22/2021
Few-shot Font Generation with Weakly Supervised Localized Representations
Automatic few-shot font generation aims to solve a well-defined, real-wo...
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11/21/2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Recently, self-supervised methods show remarkable achievements in image-...
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04/02/2021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
A few-shot font generation (FFG) method has to satisfy two objectives: t...
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02/17/2021
Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts
Domain generalization aims to learn a generalizable model to unseen targ...
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09/23/2020
Few-shot Font Generation with Localized Style Representations and Factorization
Automatic few-shot font generation is in high demand because manual desi...
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05/21/2020