Deep neural networks have been demonstrated to be vulnerable to adversarial attacks, where small perturbations intentionally added to the original inputs can fool the classifier. In this paper, we propose a defense method, Featurized Bidirectional Generative Adversarial Networks (FBGAN), to extract the...
在图像金字塔基础上构建的特征金字塔(featurized image pyramids ,Figure1(a))是传统解决思路,具有一定意义的尺度不变性。直观上看,这种特性使得模型可以检测大范围尺度的图像。 Featurized image pyramids 主要在人工特征中使用,比如DPM就要用到它产生密集尺度的样本以提升检测水平。目前人工特征式微,深度学习的CNN特征成为...
Featurized Repository PatternUsagevar builder = WebApplication.CreateBuilder(args); builder.Features() .AddRepositories(x => { // register your providers x.AddProvider(new InMemoryRepositoryProvider()); x.AddMongo("mongodb://username:password@localhost:27017"); // register your entities x.Add...
Existing single-stage detectors avoid such a featurized image pyramid representation due to its memory and time complexity. In this paper, we introduce a light-weight architecture to efficiently produce featurized image pyramid in a single-stage detection framework....
The official implementation of the CVPR'24 paper titled "XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold". - THU-luvision/XScale-NVS