1.1) CNN_Transformer python Inference.py -model CNN_Transformer --- using model: CNN_Transformer Number of 100 audio clips in testing Params: 1.58 M; Acc: 29.33 % 1.2) YAMNet python Inference.py -model YAMNet --- using
effectiveness of our model for the segmentation of the left atrial cavity from Gadolinium-enhanced magnetic resonance (GE-MR) images. With the incorporation of uncertainty estimates to detect failures in the segmentation masks generated by CNNs, our study further showcases the potential of our model...
This is a machine translation reading list maintained by the Tsinghua Natural Language Processing Group.The past three decades have witnessed the rapid development of machine translation, especially for data-driven approaches such as statistical machine translation (SMT) and neural machine translation (NMT...
Each sample is a one minute data of 6 dimensions which are high, low, open, close, volume and amount, respectively.R Requirements For load CSI-2016 PyWavelets Numpy path.py TODO [] code for xgboost [] code for CNN-based model [] code for MTDNN Results on CSI-2016 Citation Please ...
深度学习之目标检测的前世今生(Mask R-CNN) 深度学习目标检测模型全面综述:Faster R-CNN、R-FCN和SSD 从RCNN到SSD,这应该是最全的一份目标检测算法盘点 目标检测算法综述三部曲 基于深度学习的目标检测算法综述(一) 基于深度学习的目标检测算法综述(二) 基于深度学习的目标检测算法综述(三) From RCNN to YOLO...
integrity sha512-H5oELycFml5yto/atYqmjyigJoAo3+OXwolYiH7OfQuYlAqhxNvTfiNMbV9hsC6Yp83yE5r2KTVmtrG6R9i6Pg== prompts@^2.0.1: version "2.4.2" resolved "https://registry.npmjs.org/prompts/-/prompts-2.4.2.tgz" @@ -2695,7 +2668,12 @@ semver@^6.3.0, semver@^6.3.1: resolved "https...
shufflenet min = 32.33 max = 121.54 avg = 58.16 shufflenet_v2 min = 27.61 max = 70.47 avg = 44.24 mnasnet min = 33.42 max = 108.99 avg = 55.25 proxylessnasnet min = 41.86 max = 158.48 avg = 60.06 efficientnet_b0 min = 52.60 max = 165.87 avg = 92.01 efficientnetv2_b0 min = 65.24...
Large-scale hierarchical text classification withrecursively regularized deep graph-cnn--- DGCNN --- byHao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang (Github) Text classification to a hierarchical taxonomy of topics is a common and practical pro...
The model is a standard convolutional neural network (CNN) model consisting of five convolutional groups. These groups are divided into three groups of convolutional blocks (one or two layers), a batch normalization layer, a rectified linear unit (ReLU) activation layer, and a max pooling layer...
MTCNN4Android MTCNN For Android Java This project is the Android implementation of MTCNN face detection.I use the pretrained model in Google's Facenet project and transfrom the the .npy files into one .pb file first. IDE:Android Studio3.1.2 ...