TropComplique / image-classification-caltech-256Links
Exploring CNNs and model quantization on Caltech-256 dataset
☆85Updated 8 years ago
Alternatives and similar repositories for image-classification-caltech-256
Users that are interested in image-classification-caltech-256 are comparing it to the libraries listed below
Sorting:
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 4 years ago
- Scripts for Imagenet 32 dataset☆154Updated 4 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆86Updated 5 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆143Updated 3 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- End-to-End Incremental Learning☆67Updated 6 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- pytorch implementation of network-in-network model on cifar10☆51Updated 7 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Build image classifiers using Tiny ImageNet and Pytorch☆13Updated 7 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆106Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- MSDNet☆190Updated 4 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 6 years ago
- A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss☆48Updated 7 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆41Updated 2 years ago
- Cheap distillation for convolutional neural networks.☆35Updated 7 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆272Updated 5 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 7 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 3 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 7 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆71Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago