Creation of LMDB for training a multi-label loss in Caffe
☆70Jun 12, 2016Updated 10 years ago
Alternatives and similar repositories for Caffe-LMDBCreation-MultiLabel
Users that are interested in Caffe-LMDBCreation-MultiLabel are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- this repository is multi-labels classification which based on googLeNet model with caffe☆11Jul 23, 2017Updated 9 years ago
- This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/H…☆71May 18, 2018Updated 8 years ago
- The caffe version support Multi-Label☆26Apr 25, 2016Updated 10 years ago
- loss layer of implementation☆122Aug 20, 2017Updated 9 years ago
- A simple yet effective loss function for face verification.☆18Jan 19, 2018Updated 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.
- Given a pre-trained CNN, generate saliency map for an input image corresponding to the output label of interest.☆51Jul 10, 2016Updated 10 years ago
- ☆46Feb 20, 2017Updated 9 years ago
- Method for large-scale multi-label classification☆23Mar 7, 2019Updated 7 years ago
- residual-SqueezeNet☆155Mar 15, 2019Updated 7 years ago
- A Caffe Re-Implementation of SENet☆170Nov 26, 2018Updated 7 years ago
- Mxnet2Caffe_Tensor RT☆18Apr 20, 2019Updated 7 years ago
- Generate Caffe Prototxt for Deep Residual Learning Network☆69Mar 30, 2016Updated 10 years ago
- Inception-BN ImageNet (21K classes) model for Caffe☆75Sep 16, 2016Updated 10 years ago
- tripletloss in caffe☆321Apr 11, 2017Updated 9 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.
- GoogleNet Inception v3☆45Jul 7, 2016Updated 10 years ago
- Caffe real-time data augmentation on-the-fly!!☆164Jul 14, 2016Updated 10 years ago
- Interpretability of Machine Learning-Visualizations☆12Jul 9, 2018Updated 8 years ago
- re-implementation of googlenet batch normalization☆130Jan 10, 2017Updated 9 years ago
- Matlab LevelDB wrapper☆11May 28, 2015Updated 11 years ago
- Weighted Softmax Loss Layer for Caffe☆86Aug 31, 2018Updated 8 years ago
- Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe☆191Jun 6, 2017Updated 9 years ago
- Caffe Implementation of Google's MobileNets (v1 and v2)☆1,275Jun 8, 2021Updated 5 years ago
- MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added☆179Mar 16, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Caffe models (including classification, detection and segmentation) and deploy files for famouse networks☆1,279Mar 22, 2018Updated 8 years ago
- Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional N…☆189Aug 15, 2017Updated 9 years ago
- ImageNet pre-trained models with batch normalization for the Caffe framework☆364Nov 26, 2017Updated 8 years ago
- Code for our CVPR 2016 paper on Fashion styles in 128 floats.☆67Jun 27, 2016Updated 10 years ago
- ☆38Apr 10, 2025Updated last year
- shufflenet for object detection☆24Aug 2, 2017Updated 9 years ago
- A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)☆526May 21, 2021Updated 5 years ago
- This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://gi…☆22Jan 9, 2018Updated 8 years ago
- source code for the paper "Hard-Aware-Deeply-Cascaed-Embedding"☆32Feb 20, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Caffe Loss Layer for Ordinal Regression with Multiple Output CNN for Age Estimation.☆45Dec 27, 2016Updated 9 years ago
- DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet☆360Aug 29, 2019Updated 7 years ago
- Caffe Protofiles for MSRA ResNet: train prototxt☆213Dec 26, 2017Updated 8 years ago
- YOLO (Real-Time Object Detection) in caffe☆514Jan 5, 2017Updated 9 years ago
- Reproduction of Focal-loss on caffe☆141Aug 17, 2017Updated 9 years ago
- caffecn_master☆30Sep 20, 2016Updated 10 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Apr 28, 2017Updated 9 years ago