HopefulRational / DeepCaps-PyTorchLinks
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
Sorting:
- Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).☆151Updated 5 years ago
- Code for Self-Routing Capsule Networks☆52Updated 3 months ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆41Updated 2 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- Pytorch implementation of Capsule Network with Dynamic Routing☆28Updated 5 years ago
- [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …☆107Updated 3 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Empirical studies on Capsule Network representation and improvements implemented with PyTorch.☆43Updated 6 years ago
- Classification with PyTorch.☆24Updated 6 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated 2 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- ☆25Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)☆127Updated 4 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- A Pytorch Implementation for Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆30Updated 6 years ago
- Batch-Instance Normalization (BIN)☆78Updated 5 years ago
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago
- [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning☆62Updated 4 years ago
- Pytorch Implementation of the Stacked Capsule Autoencoders☆108Updated 5 years ago
- MoEx (Moment Exchange)☆141Updated 4 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 years ago
- An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"☆133Updated 7 years ago
- The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".☆102Updated 2 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆109Updated 6 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago