本文参考:A Systematic Collection of Medical Image Datasets for Deep Learning 原文地址: https://arxiv.org/abs/2106.12864时间和单位:2021年1月,来自于西安电子科技大学、圣母大学和西澳大利亚大学。 原…
Alternatively, you can access the DeepWeeds dataset withTensorFlow Datasets, TensorFlow's official collection of ready-to-use datasets.DeepWeedswas officially added to the TensorFlow Datasets catalog in August 2019. The selected weed species are local to pastoral grasslands across the state of Queenslan...
但是更多厉害的模型倾向于多个损失函数的组合。 2.2 datasets for SR 有一些提供了LR-HR的图像对,有一些只提供了HR图像。只提供HR图像的,LR图像通常是通过MATLAB中的imresize函数获得的(例如:抗锯齿的bicubic插值函数。) 2.3 Image Quality Assessment(IQA) 评价指标。IQA包括了subjective与objective的方法。objective的...
Annotation of datasets for deep learning applied to satellite and aerial imagery - satellite-image-deep-learning/annotation
from tensorflow.keras.optimizersimportAdam # 加载MNIST数据集(X_train,y_train),(X_test,y_test)=tf.keras.datasets.mnist.load_data()# 归一化像素值到[0,1]X_train,X_test=X_train/255.0,X_test/255.0# 定义模型 model=Sequential([Flatten(input_shape=(28,28)),Dense(128,...
Overall, our system outperforms existing systems by a factor of two to three times on the end-to-end running time of deep learning tasks on image datasets.Hong Kong University of Science and Technology (Hong Kong);Hong Kong University of Science and Technology (Hong Kong);Hong Kong ...
transfer learning, and pretraining have been developed to try to extend Deep Learning for application on smaller datasets. A brief description of these overfitting solutions is provided below. A complete survey of regularization methods in Deep Learning has been compiled by Kukacka et al. [6]. Kn...
However, there are a growing number of studies dealing with fairness protection for image inputs. Rapid developments in deep learning have seen various image datasets emerge, such as ImageNet [13] and KITTI [14], and, as in the past, unfairness and discrimination have again been observed ...
In this paper, we introduce a deep learning-enabled mobile application which can run entirely on common low-cost smartphones for efficient and robust herb image recognition with a quite competitive recognition accuracy in resource-limited situations. We hope this application can make contributions to ...
细粒度图像识别(fine-grained image recognition),即精细化分类。 精细化分类 识别出物体的大类别(比如:计算机、手机、水杯等)较易,但如果进一步去判断更为精细化的物体分类名称,则难度极大。 最大的挑战在于,同一大类别下不同 子类别间的视觉差异极小。因此,精细化分类所需的图像分辨率较高。