DenseNet
Convolutional Network
A deep learning implementation of a neural network architecture with interconnected layers, designed to improve accuracy on image classification tasks
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
5k stars
175 watching
1k forks
Language: Lua
last commit: about 1 year ago
Linked from 2 awesome lists
deep-learning
weiaicunzai/awesome-image-classification
michaelxin/awesome-caffeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
 titu1994/densenet | An implementation of a deep learning network architecture with dense connectivity and bottleneck layers. | 707 |
 donnyyou/torchcv | A comprehensive PyTorch-based framework for computer vision tasks | 2,249 |
 simjeg/fc-densenet | An implementation of a fully convolutional densely connected neural network architecture for semantic segmentation tasks. | 487 |
 shelhamer/fcn.berkeleyvision.org | Provides reference implementation of fully convolutional networks (FCNs) for semantic segmentation | 3,318 |
 apple/corenet | A deep neural network toolkit allowing researchers and engineers to train various models | 6,997 |
 leriomaggio/deep-learning-keras-tensorflow | A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,951 |
 leoxiaobin/deep-high-resolution-net.pytorch | An implementation of a deep learning network for human pose estimation using high-resolution representations | 4,354 |
 hujie-frank/senet | An implementation of the Squeeze-and-Excitation Networks architecture in Caffe | 3,415 |
 shicai/densenet-caffe | Provides pre-trained neural network models based on DenseNet architecture, converted from Torch format to Caffe model for use in deep learning applications. | 357 |
 rbgirshick/rcnn | A visual object detection system that combines region proposals with neural network features to improve detection performance. | 2,381 |
 labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 57,177 |
 yixuanli/densenet-tensorflow | An implementation of DenseNet in TensorFlow using the Tensorpack framework and OpenCV-Python for image preprocessing. | 571 |
 locuslab/tcn | An empirical evaluation of generic convolutional and recurrent networks for sequence modeling | 4,204 |
 tkipf/pygcn | A PyTorch implementation of a graph neural network architecture for semi-supervised classification | 5,214 |