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06/19/2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
The class-wise training losses often diverge as a result of the various ...
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11/25/2022
Adaptive Attention Link-based Regularization for Vision Transformers
Although transformer networks are recently employed in various vision ta...
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02/07/2022
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations
Various deepfake detectors have been proposed, but challenges still exis...
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11/12/2021
Self-supervised GAN Detector
Although the recent advancement in generative models brings diverse adva...
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10/08/2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification
Image-mixing augmentations (e.g., Mixup or CutMix), which typically mix ...
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10/06/2021
MToFNet: Object Anti-Spoofing with Mobile Time-of-Flight Data
In online markets, sellers can maliciously recapture others' images on d...
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03/25/2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
Active Learning for discriminative models has largely been studied with ...
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05/30/2019
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators
In this paper, we propose a novel structure for a cross-modal data assoc...
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01/18/2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
In person re-identification (ReID) task, because of its shortage of trai...
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03/28/2018