sukritshankar / Caffe-LMDBCreation-MultiLabelView external linksLinks
Creation of LMDB for training a multi-label loss in Caffe
☆70Jun 12, 2016Updated 9 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
Sorting:
- 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 7 years ago
- A simple yet effective loss function for face verification.☆18Jan 19, 2018Updated 8 years ago
- loss layer of implementation☆124Aug 20, 2017Updated 8 years ago
- ☆46Feb 20, 2017Updated 8 years ago
- A Caffe Re-Implementation of SENet☆171Nov 26, 2018Updated 7 years ago
- The caffe version support Multi-Label☆26Apr 25, 2016Updated 9 years ago
- Mxnet2Caffe_Tensor RT☆18Apr 20, 2019Updated 6 years ago
- residual-SqueezeNet☆155Mar 15, 2019Updated 6 years ago
- MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added☆179Mar 16, 2022Updated 3 years ago
- Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe☆191Jun 6, 2017Updated 8 years ago
- ☆29Mar 20, 2017Updated 8 years ago
- Inception-BN ImageNet (21K classes) model for Caffe☆75Sep 16, 2016Updated 9 years ago
- re-implementation of googlenet batch normalization☆130Jan 10, 2017Updated 9 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Apr 28, 2017Updated 8 years ago
- Focal loss for Dense Object Detection☆228Feb 1, 2018Updated 8 years ago
- ☆38Apr 10, 2025Updated 10 months ago
- Reproduction of Focal-loss on caffe☆140Aug 17, 2017Updated 8 years ago
- pyNetBuilder is a modular pytonic interface with builtin modules for generating popular caffe prototxt network file definitions.☆327Sep 10, 2016Updated 9 years ago
- Caffe models (including classification, detection and segmentation) and deploy files for famouse networks☆1,281Mar 22, 2018Updated 7 years ago
- tripletloss in caffe☆321Apr 11, 2017Updated 8 years ago
- Interpretability of Machine Learning-Visualizations☆13Jul 9, 2018Updated 7 years ago
- Code for replicating results in 'On Weight Initializations in Deep Neural Networks'☆10Apr 28, 2017Updated 8 years ago
- ☆127Apr 20, 2017Updated 8 years ago
- Caffe branch for R-FCN☆174Sep 28, 2017Updated 8 years ago
- face detect and align☆55Dec 7, 2017Updated 8 years ago
- Evaluating efficiency of several types of convolutions☆30Jun 5, 2017Updated 8 years ago
- Caffe Implementation of Google's MobileNets (v1 and v2)☆1,276Jun 8, 2021Updated 4 years ago
- A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please se…☆552Jul 17, 2018Updated 7 years ago
- Tool to compress trained caffe weights☆106May 25, 2016Updated 9 years ago
- Generate Caffe Prototxt for Deep Residual Learning Network☆71Mar 30, 2016Updated 9 years ago
- CVPR2017 - an ultra-compact bilinear model for fine-grained classification☆148Oct 31, 2017Updated 8 years ago
- code for py-R-FCN-multiGPU maintained by bupt-priv☆150Jan 27, 2018Updated 8 years ago
- Given a pre-trained CNN, generate saliency map for an input image corresponding to the output label of interest.☆51Jul 10, 2016Updated 9 years ago
- Caffe Protofiles for MSRA ResNet: train prototxt☆214Dec 26, 2017Updated 8 years ago
- Some useful python functions for visualizing a caffe network☆26Jun 28, 2016Updated 9 years ago
- shufflenet for object detection☆24Aug 2, 2017Updated 8 years ago
- Convert MXNet model to Caffe model☆163Oct 24, 2018Updated 7 years ago
- Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf☆231Jun 21, 2019Updated 6 years ago
- Caffe fork that supports Mask R-CNN☆12Sep 29, 2017Updated 8 years ago