2021.11.24: Add ViT for patch-based FAS 2021.10.12: Add VisionPermutator, MLPMixer and ConvMixer for patch-based FAS 2019.3.10: Code upload for the origanizers to reproduce. Dependencies imgaug==0.4.0 torch==1.9.0 torchvision==0.10.0 Pretrained models download [models.2021] CASIA-SURF vali...
Fast Patch-based Denoising Using Approximated Patch Geodesic Paths Xiaogang Chen1,3,4, Sing Bing Kang2, Jie Yang1,3, and Jingyi Yu4 1Shanghai Jiao Tong University, Shanghai, China. {cxg,jieyang}@sjtu.edu.cn 2Microsoft Research, Redmond, WA, USA. sbkang@microsoft.com 3Key Laboratory of ...
Code Issues Pull requests Discussions json-joy is a library that implements cutting-edge real-time and collaborative editing algorithms and utilities for JSON data models, with a focus on developing the JSON CRDT (Conflict-free Replicated Data Type) specification and implementation. json reactive sch...
compute.models.PatchInstallationDetail Implements JsonSerializable<PatchInstallationDetail> public final class PatchInstallationDetail implements JsonSerializable<PatchInstallationDetail> Information about a specific patch that was encountered during an installation action. Constructor Summary 展开表 Constructor...
indexes.models com.azure.search.documents.models com.azure.search.documents.options com.azure.search.documents.util com.azure.communication.chat com.azure.communication.chat.models com.azure.communication.common com.azure.communication.identity com.azure.communication.identity.models com.azure.communication....
基于深度的方法(Depth-Based Methods): 利用深度估计网络估计出图像的中每个像素对应的深度图,再将深度图直接作为输入or与原图结合or转换成3D点云数据(伪激光雷达Pseudo-LiDAR)用于3D目标检测任务。该方法的缺点是其深度和目标检测分离训练的结构,导致其可能会丢失一些隐含的信息。
Modl: Model-based deep learning architecture for inverse problems IEEE Transactions on Medical Imaging (2019) View more references Cited by (3) Best subset selection for high-dimensional non-smooth models using iterative hard thresholding 2023, Information Sciences ...
A weighted averaging strategy of fusing diverse inference results from overlapped patches is also developed. The effectiveness of patch-based video models is demonstrated by extensive experimental results on a wide range of video materials. 展开 ...
Attention-Based Ensemble Pooling for Time Series Forecasting 论文链接:arxiv.org/pdf/2310.1623 在时间序列预测中,减少模型偏差的常见技术是使用一组预测模型,并将它们的输出汇总成一组集合预测。然而,在每个预测模型具有不同偏差的情况下,不总是清楚如何在此汇总期间加权考虑每个模型预测。我们提出了一种汇总方法,该...
These models try to learn a compact parameterization of the space of plausible object instances from a population of observed samples using low-rank matrix approximation methods (SVD or PCA). The quality of these models heavily depends on the quantity and quality of the training population. As ...