前人证明,利用在ImageNet数据集上预训练的模型可以显著提高AudioSet数据集上音频Transformer模型的性能,因此作者在音频实验中使用ImageNet1K预训练的模型。 对于patchification步骤,作者将3个图像通道的权重平均到1个通道以用于音频。对于可学习的位置嵌入权重和其他MMViT模型权重,简单地将图像MMViT模型的权重插值到音频MMViT...
ImageNet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems 25 (eds. Pereira, F. et al.) 1097–1105 (Curran Associates, 2012). He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. In IEEE Conference...
假设对于同一个数据集的两个 view 的集合为 V1 和V2 ,例如 V1 和V2 分别代表 ImageNet 的RGB图和深度图。从两个数据集中采样第 i 张图片对应的两种 view 的表示为 x={v1i,v2i} 作为positive 样本,相当于从联合分布采样。随后从边缘分布中采样negative样本,从两个图片 i,j 的表示中采样 y={v1i,v2...
Focusing on the classification of mammograms using craniocaudal (CC) and mediolateral oblique (MLO) views and their respective mass and micro-calcification segmentations of the same breast, we initially train a separate CNN model for each view and each segmentation map using an Imagenet pre-trained...
We also show that FroSSL learns competitive representations on linear probe evaluation when used to train a ResNet-18 on several datasets, including STL-10, Tiny ImageNet, and ImageNet-100. 展开 年份: 2023 收藏 引用 批量引用 报错 分享 ...
Optional: The RGB encoder may be initialized by a pre-trained image model. An ImageNet1K-MAE-pretrained model is available [here]. Using a pre-trained model may speed up training but does not affect the final results much. Running MCC on Hypersim ...
et al. ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. 115, 211–252 (2015). Article Google Scholar Shen, D., Wu, G. & Suk, H.-I. Deep learning in medical image analysis. Annu. Rev. Biomed. Eng. 19, 221–248 (2017). Article CAS PubMed PubMed ...
而大多数替代方案还不能很好地用于像ImageNet这样的大规模数据集。 许多对正则交叉熵的改进实际上是通过对loss定义的放宽进行的,特别是参考分布是轴对称的。这写改进通常具有不同的动机:比如标签... Representation Learning with Contrastive Predictive Coding...
${POSE_ROOT}/models └── pytorch └── imagenet ├── resnet152-b121ed2d.pth ├── resnet50-19c8e357.pth └── mobilenet_v2.pth.tar They can be downloaded from the following link:https://onedrive.live.com/?authkey=%21AF9rKCBVlJ3Qzo8&id=93774C670BD4F835%21930&cid=93774C6...
ImageNet 1,281,167 up to 4488x7056 - NWPU-RESISC45 31,500 256x256 0.2 - 30 DOTA 2,806 800x800 - 4000x4000 not specified NWPU VHR-10 800 381x601 - 1028x1728 0.08 - 2 BigEarthNet 269,695 up to 120x120 10 - 60Table 2: Details of datasets used for the evaluation of self-supe...