yzspku / BiCNN
图像细粒度分类
☆12Updated 5 years ago
Related projects: ⓘ
- 实现遇到的分类网络（持续更新）☆19Updated 5 years ago
- 使用cNN对交通标志进行分类☆11Updated 6 years ago
- 使用PyTorch实现基于YOLOv3的目标检测器☆61Updated 6 years ago
- 基于keras resnet34的车牌识别项目☆11Updated 5 years ago
- 使用LBP方法提取特征，再使用svm进行分类☆40Updated 7 years ago
- 谷歌INCEPTION-RESNET-V3迁移学习实现图像二分类判断图像是否生病☆16Updated 6 years ago
- 基于虚拟仿真环境下的自动驾驶交通标志识别 Datafountain 平台上的一个竞赛，最终成绩为0.986,25th。前排大佬都能做到0.996+了，膜拜学习一下☆19Updated 5 years ago
- fine-Grained classify 细颗粒度图像分类☆11Updated last year
- 深度学习 + OpenCV，Python实现实时视频目标检测☆92Updated 5 years ago
- 【目标识别】yolo3_keras旗帜识别&&训练自己数据☆49Updated 2 years ago
- For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.☆41Updated 4 years ago
- 学习pytorch图像分类时整理的魔板，只需要更改对应的图片，直接运行train.py 和test.py即可☆16Updated 4 years ago
- Tensorflow2（Keras）复现论文"Multi-scale Convolution Neural Networks for Crowd Counting"实现人群密度估计☆27Updated 4 years ago
- yolo3-keras的源码☆27Updated 4 years ago
- 对于小目标的检测和识别☆26Updated 5 years ago
- 使用keras版本的Mask-RCNN来训练自己的数据，通过代码把样本制作麻烦的步骤变成简单方便。☆49Updated 6 years ago
- all code used by python(including web-crawler,deeplearning)☆28Updated 3 years ago
- 用SVM支持向量机方法，经过LBP特征提取实现二分类☆9Updated 5 years ago
- 谷歌INCEPTION-RESNET-V2迁移学习实现图像二分类判断图像是否生病☆17Updated 6 years ago
- 视频行为识别☆33Updated 6 years ago
- 计算机视觉方面的分类、对象检测、图像分割、人脸检测、OCR等中文翻译☆106Updated 3 years ago
- 使用HOG和SVM进行目标检测☆13Updated 6 years ago
- ☆20Updated 4 years ago
- Siamese Network and Triplet Loss for face recognition in real time☆13Updated 5 years ago
- 2018广东工业智造大数据创新大赛——智能算法赛☆35Updated 5 years ago
- 使用HOG+SVM进行图像分类☆157Updated 5 years ago
- Training a convolutional neural network using own picture dataset☆98Updated 5 years ago
- VGG model for yourself image data by tensorflow☆20Updated 6 years ago
- PCA+SVM+KFold方法人脸识别（Face Detection using PCA+SVM）☆63Updated 5 years ago
- operate the xml files in the VOC dataset☆11Updated 5 years ago