ImageNet是一个图像数据集,关于它的详细介绍可以参考这篇文章:Dataset之ImageNet:ImageNet数据集简介、下载、使用方法之详细攻略。 ILSVRC是ImageNet Large Scale Visual Recognition Challenge的缩写,是基于ImageNet的一个图像识别大赛,每年都会举办。ILSVRC2012就是2012年举办的,比赛组织者会发布一整套数据,包括 training ...
ImageNet offer a clean datatset at all levels of the WordNet hierarchy. ImageNet provides diversified images. The objects in images have variable appearances, positions, view points, poses as well as background clutter and occlusions. Other datasets Small image datasets Caltech 101/256, MSRC, ...
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets 26 Aug 2024 13 Previous 1 Next Showing 1 to 1 of 1 papers Dataset Loaders Edit cemos-is/robust-minisets 11 Tasks Edit Classification Robust classification Similar Datasets MedMNIST v2...
This study demonstrated that for the small dataset, the best pretrained feature extractor was DenseNet201, whereas the best model for training was a fully connected softmax layer with a reported accuracy of 88.20% and an average f1-score of 0.881. For the larger dataset size, the best feature...
Most datasets were too small, containing just a few thousand images. AI lacked the scale needed to recognize and categorize objects like the human brain. The Solution: ImageNet – An AI Revolution Li's radical idea was simple but ambitious: create a massive dataset of labeled images. She ...
论文指出,通过一种新的方法,能够大幅加速模型训练的过程,仅需1小时,就能训练完ImageNet这样的大规模数据集。 AI100也在第一时间采访到业内技术大牛,了解到业内对此的反响。这些AI工程师们,纷纷拍手高呼,这是所有人都想干,却一直还没干成的行业大事,如今终于等到这一天。以往需要1周的训练时间,如今1天就能完成。
fan_hybrid_small83.5 fan_hybrid_tiny80.1 Evaluation Data We have tested the FAN models on the ImageNet1K validation dataset. Methodology and KPI The key performance indicator is the accuracy, following the standard evaluation protocol for image classification. The KPI for the evaluation data are rep...
We hope this work can provide some insights to the community and open up a new avenue for research in robust computer vision. The code and dataset are available at https://github.com/alibaba/easyrobust. PDF Abstract CVPR 2023 PDF CVPR 2023 Abstract ...
To learn about thousands of objects from millions of images, we need a model with a large learning capacity. However, the immense complexity of the object recognition task means that this problem cannot be specified even by a dataset as large as ImageNet, so our model should also have lots...
More details about the dataset please refer to the project page or paper link. Usage Semi-supervised finetuning with pre-trained checkpoints python -m torch.distributed.launch --nproc_per_node=8 main_segfinetune.py \ --accum_iter 1 \ --batch_size 32 \ --model vit_small_patch16 \ -...