Search Results for author:
Found 7 papers, 4 papers with code
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image.
Vision Transformer Hashing for Image Retrieval
We utilize the pre-trained ViT on ImageNet as the backbone network and add the hashing head.
Frequency Disentangled Residual Network
Moreover, the computation of low and high frequency components using fixed filters further avoids the overfitting.
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
With the pre-trained supernt, the search time of SGNAS for $N$ different hardware constraints is only 5 GPU hours, which is $4N$ times faster than previous SOTA single-path methods.
PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment
During search, we evaluate candidate blocks in different layers and construct the accuracy table that is to be used in deployment.
Visual Weather Temperature Prediction
In this paper, we attempt to employ convolutional recurrent neural networks for weather temperature estimation using only image data.
Manga FaceNet
Among various elements of manga, character’s face plays one of the most important role in access and retrieval.
