giannislelekas / topdownLinks
Top-Down Networks
☆9Updated 4 years ago
Alternatives and similar repositories for topdown
Users that are interested in topdown are comparing it to the libraries listed below
Sorting:
- ☆41Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆37Updated 5 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 3 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated 2 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- NP DRAW paper released code☆21Updated 3 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Twin Auxiliary Classifiers GAN (NeurIPS 2019) [Spotlight]☆15Updated 5 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 3 years ago
- Code of our Neurips2020 paper "Auto Learning Attention", coming soon☆22Updated 4 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 6 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆45Updated 5 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- PyTorch implementation of A Lightweight Encoder-Decoder Path for Deep Residual Networks.☆19Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- DTLC-GAN Tensorflow☆12Updated 6 years ago
- Self-Supervised Domain Adaptation with Consistency Training☆19Updated 4 years ago
- Out-of-distribution generalization benchmarks for image recognition models☆14Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- ☆41Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago