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Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
the modify for shufflenets: shufflenet_v2_csp;shufflenet_v2_k5;shufflenet_v2_liteconv;shufflenet_v2_se_attention;shufflenet_v2_sk_attention
pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类
Skin Lesion Classifier using the ISIC 2018 Task 3 Dataset.
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
A hybrid approach is proposed by fusing and optimizing the properties of handcrafted and deep features to classify the breast cancer images. HOG and LBP features are serially fused with pre-trained…
Breast cancer classification and evaluation of classifiers
Paper accepted by ICPR 2018. \\ Title : Riemannian kernel based nystrom method for approximate infinite-dimensional covariance descriptors with application to image set classification.
[Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification
Here I train Support Vector Machine, Linear Discriminant Analysis, and a four-layer feed forward neural net to classify 10 image categories from CIFAR-10 dataset achieving the highest accuracy with…
Course project code for a breast cancer image classification task.
Codes and datasets for the paper "Improved twin support vector machine algorithm and applications in classification problems"
Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.
Refining the Accuracy and Efficiency to classify brain tumor images into malignant and benign using Matlab
A novel segmentation-to-classification scheme for breast ultrasound image classification
This is the implemenatation of a Machine Learning Model which classifies various features in satellite image using the k-means clustering Alogrithm.
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
Image Feature Extraction and Classification Using Python
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码