kevinhuang06 / Caffe-Data-AugmentationLinks
Image data augmentation util for Caffe
☆9Updated 8 years ago
Alternatives and similar repositories for Caffe-Data-Augmentation
Users that are interested in Caffe-Data-Augmentation are comparing it to the libraries listed below
Sorting:
- The MXNet Implementation of ShuffleNet v1, v2 and MobileFaceNet☆10Updated 6 years ago
- A Caffe Re-Implementation of SENet☆169Updated 6 years ago
- Spatial Transformer Networks☆76Updated 9 years ago
- Spatial Transformer Network Implementation in Caffe☆27Updated 9 years ago
- Caffe real-time data augmentation on-the-fly!!☆164Updated 9 years ago
- ☆34Updated 9 years ago
- Creation of LMDB for training a multi-label loss in Caffe☆71Updated 9 years ago
- ☆29Updated 8 years ago
- Re-implementation of tripletloss function in FaceNet☆91Updated 8 years ago
- Caffe extension submodule for Deep Metric Learning via Lifted Structured Feature Embedding☆29Updated 9 years ago
- A simplify version of mobilenet, with less group and feature maps, trained on Imagenet.☆17Updated 8 years ago
- Trained network models for Torch☆10Updated 9 years ago
- Weighted Softmax Loss Layer for Caffe☆87Updated 6 years ago
- Implement of 'Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues' by Ning Zhang, et al☆24Updated 9 years ago
- code fixed from https://github.com/sanghoon/pva-faster-rcnn☆7Updated 8 years ago
- ☆46Updated 8 years ago
- Places2-401-CNN and Places2-365-CNN☆34Updated 8 years ago
- Caffe re-implementation of ShuffleNet☆106Updated 7 years ago
- Generate the pascal voc format of label file for det and seg task in coco dataset.☆8Updated 7 years ago
- It's the script of Center loss on mnist dataset running on Caffe.☆53Updated 8 years ago
- training wide residual networks in caffe☆19Updated 8 years ago
- Deep Residual Learning for Image Recognition☆16Updated 9 years ago
- Caffe triplet loss implementation☆17Updated 9 years ago
- Python implementation of Evolving Boxes Evolving Boxes for Fast Vehicle Detection☆68Updated 7 years ago
- ☆38Updated 3 months ago
- Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''☆175Updated 7 years ago
- Xception implemented with caffe☆45Updated last year
- residual-SqueezeNet☆154Updated 6 years ago
- Caffe Loss Layer for Ordinal Regression with Multiple Output CNN for Age Estimation.☆46Updated 8 years ago
- Code to convert a MXNet model into Caffe (C++)☆53Updated 8 years ago