kuangliu / pycaffe-mtcnnLinks
MTCNN with pycaffe
☆14Updated 8 years ago
Alternatives and similar repositories for pycaffe-mtcnn
Users that are interested in pycaffe-mtcnn are comparing it to the libraries listed below
Sorting:
- ShuffleNet implementation in mxnet☆41Updated 7 years ago
- prepare faces for face recognition training☆120Updated 7 years ago
- This is the pre-trained model of SphereFace : Deep Hypersphere Embedding for Face Recognition☆58Updated 8 years ago
- Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''☆175Updated 7 years ago
- AI Challenger Keypoints Detection(https://challenger.ai/competition/keypoint/leaderboard) (SYSU_Pose Rank #5)☆96Updated 7 years ago
- Tensorflow Object Detection API☆13Updated 7 years ago
- 使用pytorch实现了FaceBoxes: A CPU Real-time Face Detector with High Accuracy☆131Updated 6 years ago
- The caffe version support Multi-Label☆26Updated 9 years ago
- Reproduction of MobileNetV2 using MXNet☆128Updated 6 years ago
- SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.☆149Updated 6 years ago
- Model shared. Top1:71.806/Top5:90.410☆59Updated 7 years ago
- Deep Face Model Compression☆195Updated 7 years ago
- ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss☆184Updated 7 years ago
- Focal loss for Dense Object Detection☆34Updated 7 years ago
- Caffe: a fast open framework for deep learning.☆27Updated 8 years ago
- Caffe re-implementation of ShuffleNet☆106Updated 7 years ago
- Xception implemented with caffe☆45Updated last year
- ☆40Updated 9 years ago
- Face Recognition Using A-Softmax_loss on light cleaned Ms_celeb-1M dataset☆184Updated 7 years ago
- Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow☆106Updated 6 years ago
- Face Recognition Training System written by Pytorch☆53Updated 7 years ago
- a re-implementation of asoftmax in tensorflow☆91Updated 7 years ago
- Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.☆49Updated 7 years ago
- Code to convert a MXNet model into Caffe (C++)☆53Updated 8 years ago
- A slightly cleaner wash list of MS-Celeb-1M☆71Updated 7 years ago
- ☆12Updated 6 years ago
- MXNet port of R-FCN☆51Updated 8 years ago
- ☆90Updated 7 years ago
- It's the script of Center loss on mnist dataset running on Caffe.☆53Updated 8 years ago
- Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017☆237Updated 7 years ago