HopefulRational / DeepCaps-PyTorch
PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
☆26Updated 4 years ago
Alternatives and similar repositories for DeepCaps-PyTorch:
Users that are interested in DeepCaps-PyTorch are comparing it to the libraries listed below
- Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).☆150Updated 4 years ago
- Code for Self-Routing Capsule Networks☆50Updated 7 months ago
- Empirical studies on Capsule Network representation and improvements implemented with PyTorch.☆44Updated 5 years ago
- Pytorch implementation of Capsule Network with Dynamic Routing☆28Updated 4 years ago
- Classification with PyTorch.☆23Updated 5 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- Multi-level Dense Capsule Networks, in ACCV 2018☆34Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 4 years ago
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 4 years ago
- Code for Image Synthesis with a Convolutional Capsule Generative Adversarial Network☆20Updated 5 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated last year
- [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …☆104Updated 2 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- A Pytorch Implementation for Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆30Updated 5 years ago
- Batch-Instance Normalization (BIN)☆79Updated 5 years ago
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆24Updated 5 years ago
- [CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification☆41Updated 3 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- ☆13Updated 5 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 4 years ago
- Squeeze-and-Excitation module for convolutional neural networks written in PyTorch☆23Updated 6 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆42Updated last year
- This is the pytorch re-implementation of the IterNorm☆41Updated 5 years ago
- ☆39Updated 6 years ago
- This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…☆29Updated 3 years ago
- AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks☆16Updated 4 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆64Updated 7 years ago