VITA-Group / Orthogonality-in-CNNsView external linksLinks
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
☆130Dec 31, 2021Updated 4 years ago
Alternatives and similar repositories for Orthogonality-in-CNNs
Users that are interested in Orthogonality-in-CNNs are comparing it to the libraries listed below
Sorting:
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Dec 16, 2019Updated 6 years ago
- ☆23Nov 24, 2018Updated 7 years ago
- [ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study☆40Sep 30, 2022Updated 3 years ago
- Difference of Convolution for Deep Compressive Sensing, IEEE International Conference on Image Processing (ICIP), 2019 - Training code in…☆10Mar 5, 2021Updated 4 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Aug 3, 2021Updated 4 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆23Apr 29, 2019Updated 6 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Jan 19, 2021Updated 5 years ago
- [TPAMI 2020] "Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset" by Zhenyu Wu, Haotao Wang,…☆39Dec 30, 2021Updated 4 years ago
- Analyzing deviation from orthogonality in RNNs☆16Oct 30, 2017Updated 8 years ago
- Multi-Scale Deep Compressive Sensing Network, IEEE Inter. Conf. Visual Comm. Image Process. (VCIP), 2018☆13Jun 12, 2019Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Aug 7, 2018Updated 7 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Mar 17, 2021Updated 4 years ago
- [BMVC 2018] Self-supervised Feature Learning for Semantic Segmentation of Overhead Imagery.☆40Jun 15, 2024Updated last year
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Apr 13, 2022Updated 3 years ago
- Slides from various talks I gave☆18Oct 25, 2018Updated 7 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Sep 6, 2018Updated 7 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Facial attribute classification based on graph attention (tensorflow)☆17Nov 17, 2018Updated 7 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Dec 30, 2021Updated 4 years ago
- Generalized Framework for PyTorch☆32Nov 25, 2021Updated 4 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆588Oct 12, 2021Updated 4 years ago
- PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs☆184Nov 15, 2018Updated 7 years ago
- "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…☆27Aug 20, 2023Updated 2 years ago
- CVPR18: Learning and Using the Arrow of Time☆21Jun 23, 2018Updated 7 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Aug 15, 2019Updated 6 years ago
- Sample implementation accompanying the NeurIPS 2019 paper 'Powerset Convolutional Neural Networks' by Chris Wendler, Dan Alistarh, and Ma…☆10Oct 26, 2020Updated 5 years ago
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Mar 25, 2023Updated 2 years ago
- Official Code for Invertible Residual Networks☆536Jul 28, 2024Updated last year
- This is the pytorch re-implementation of the IterNorm☆41May 9, 2019Updated 6 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆67Jan 17, 2022Updated 4 years ago
- [CVPR 2018] Official Tensorflow Code of Learning Strict Identity Mappings in Deep Residual Networks☆21Sep 27, 2020Updated 5 years ago
- (CVPR) Resource Aware Person Re-identification across Multiple Resolutions☆64Nov 20, 2020Updated 5 years ago
- Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.☆58Jan 2, 2019Updated 7 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Sep 4, 2020Updated 5 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Feb 23, 2021Updated 4 years ago
- Sparse Label Smoothing Regularization for Person Re-Identification☆41May 13, 2019Updated 6 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Jul 6, 2023Updated 2 years ago
- Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).☆25Jan 9, 2025Updated last year
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 5 years ago