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Found 3 papers, 1 papers with code
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge
The budgeted model training challenge aims to train an efficient classification model under resource limitations.
Robust face anti-spoofing framework with Convolutional Vision Transformer
Owing to the advances in image processing technology and large-scale datasets, companies have implemented facial authentication processes, thereby stimulating increased focus on face anti-spoofing (FAS) against realistic presentation attacks.
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images.
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