hehefan / Image-Retrieval
☆7Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Image-Retrieval
- Least Squares GANs in Tensorflow☆17Updated 7 years ago
- Keras implementation of the article "Solving internal covariate shift in deep learning with linked neurons"☆13Updated 6 years ago
- A PyTorch implementation of DenseNet, supporting multiclass and multilabel classification.☆24Updated 7 years ago
- tags: transfer learning, domain adaptation, finetuning, one-shot learning, zero-shot learning.☆18Updated 8 years ago
- CNN Image Retrieval Model Weights Ported☆11Updated 6 years ago
- Implementation of "Domain-adaptive deep network compression", ICCV 2017☆28Updated 6 years ago
- MXNet finetune baseline (res152) for iNaturalist Challenge at FGVC 2017☆31Updated 7 years ago
- Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"☆16Updated 7 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆43Updated 8 years ago
- Pytorch implementation of "Fast Training of Triplet-based Deep Binary Embedding Networks".☆39Updated 6 years ago
- ☆21Updated 8 years ago
- Code for LDLForests☆19Updated 6 years ago
- Slides from various talks I gave☆18Updated 6 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 7 years ago
- ☆29Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- semantic image segmentation networks implemented in tensorflow☆16Updated 7 years ago
- How should we evaluate supervised hashing☆29Updated 6 years ago
- ☆19Updated 5 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- ☆29Updated 6 years ago
- Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges☆37Updated 7 years ago
- Keras Implementation of SparseNets☆23Updated 6 years ago
- Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf☆10Updated 8 years ago
- Caffe for "Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification"☆20Updated 7 years ago
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Updated 8 years ago