Data Augmentation for Caffe
☆173May 24, 2017Updated 9 years ago
Alternatives and similar repositories for caffe-augmentation
Users that are interested in caffe-augmentation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Caffe real-time data augmentation on-the-fly!!☆164Jul 14, 2016Updated 10 years ago
- Caffe Image Data Augmentation☆15May 11, 2018Updated 8 years ago
- Reproduction of Focal-loss on caffe☆141Aug 17, 2017Updated 9 years ago
- A Caffe Re-Implementation of SENet☆170Nov 26, 2018Updated 7 years ago
- Caffe models (including classification, detection and segmentation) and deploy files for famouse networks☆1,279Mar 22, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.☆34Jul 27, 2015Updated 11 years ago
- A caffe implementation of mobilenet's depthwise convolution layer.☆146Jul 31, 2017Updated 9 years ago
- ResNet for Cifar10☆20Oct 4, 2017Updated 9 years ago
- Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.☆172Nov 30, 2017Updated 8 years ago
- insightface-caffe☆279Aug 14, 2019Updated 7 years ago
- loss layer of implementation☆122Aug 20, 2017Updated 9 years ago
- Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext☆125Oct 21, 2017Updated 9 years ago
- caffe implementation of Group Normalization https://arxiv.org/abs/1803.08494☆41Sep 12, 2018Updated 8 years ago
- pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'☆32Dec 5, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Caffe Implementation of Google's MobileNets (v1 and v2)☆1,275Jun 8, 2021Updated 5 years ago
- A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)☆526May 21, 2021Updated 5 years ago
- ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%☆194Jun 23, 2019Updated 7 years ago
- This is a fast caffe implementation of ShuffleNet.☆454Aug 30, 2018Updated 8 years ago
- This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"☆159Jun 1, 2018Updated 8 years ago
- This branch is developed for deep face recognition☆1,212Jun 4, 2018Updated 8 years ago
- ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss☆184Jan 10, 2018Updated 8 years ago
- Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017☆237Nov 23, 2017Updated 8 years ago
- SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.☆149Feb 25, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- prepare faces for face recognition training☆119Feb 17, 2018Updated 8 years ago
- MTCNN Face Detection & Alignment☆202Sep 8, 2017Updated 9 years ago
- Caffe code for Densely Connected Convolutional Networks (DenseNets)☆268Aug 11, 2017Updated 9 years ago
- ☆146Jan 10, 2019Updated 7 years ago
- DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet☆360Aug 29, 2019Updated 7 years ago
- Easily deploy multi-GPU caffe on Windows or Linux☆95Nov 6, 2017Updated 8 years ago
- Awesome Caffe☆218Sep 5, 2019Updated 7 years ago
- Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''☆173Dec 11, 2017Updated 8 years ago
- Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf☆230Jun 21, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The implementation of Focal-Loss Using Caffe☆38Aug 23, 2017Updated 9 years ago
- This is caffe implementation of shuffleNet V2☆70Aug 25, 2018Updated 8 years ago
- Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)☆723Feb 10, 2017Updated 9 years ago
- Apply triplet loss to face recognition, adding new loss layer to the latest version of caffe.☆44Jun 16, 2017Updated 9 years ago
- Caffe Implementation of MobileNets V3☆131May 18, 2019Updated 7 years ago
- Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.☆78Mar 16, 2017Updated 9 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,089May 2, 2024Updated 2 years ago