rgmyr / keras-texture
tf.keras implementations of deep texture recognition & fine-grained image classification models
☆29Updated 5 years ago
Alternatives and similar repositories for keras-texture:
Users that are interested in keras-texture are comparing it to the libraries listed below
- A pytorch implementation of paper "A multi-level attention network for fine-grained image classification"☆11Updated 6 years ago
- Keras Implementation of MixNets: Mixed Depthwise Convolutions☆40Updated 5 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 5 years ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆22Updated 3 years ago
- CS_IOC5008 Visual Recognition using Deep Learning: Image Classification for grey natural scene images with <4000 annotated data☆40Updated 5 years ago
- TensorFlow implementation of "ResNeSt: Split-Attention Networks"☆67Updated 3 years ago
- Bilinear CNNs in PyTorch☆20Updated 5 years ago
- Feature Map Inversion to visualize what feature a filter extract from input image in CNNs☆30Updated 8 years ago
- I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based …☆31Updated 7 years ago
- Example of semantic segmentation in Keras☆56Updated 6 years ago
- #Deep One class #Anomaly Detection☆49Updated 5 years ago
- Faster RCNN for xView satellite data challenge☆21Updated 5 years ago
- This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.☆14Updated 5 years ago
- Code for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"☆21Updated 2 years ago
- Airbus Ship Detection Challenge 10th Code.☆32Updated 6 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Active attention in classification networks that is optimised at the time of model training.☆11Updated 6 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 5 years ago
- an implementation of mixup☆41Updated 4 years ago
- ☆13Updated 7 years ago
- PyTorch Implementation of Residual Attention Network for Semantic Segmentation.☆23Updated 7 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Updated 6 years ago
- Focal Loss implementation by Keras with TensorFlow backend☆42Updated 7 years ago
- Implementation in Keras of ShuffleNet (https://arxiv.org/abs/1707.01083)☆19Updated 6 years ago
- ☆61Updated 7 years ago
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆28Updated 6 years ago
- Illustration of how to create TFRecord with images and pipelined into Datasets and Iterators☆15Updated 6 years ago
- Multi-Label Multi-Class Fine-Grain Image-Classification using Keras for iMaterialist_challenge_FGVC5 at CVPR18☆14Updated 6 years ago
- One-Shot Learning with Triplet CNNs in Pytorch☆93Updated 4 years ago
- It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …☆38Updated 6 years ago