chaoyuaw / sampling_mattersLinks
Sampling Matters in Deep Embedding Learning (ICCV'17)
☆16Updated 6 years ago
Alternatives and similar repositories for sampling_matters
Users that are interested in sampling_matters are comparing it to the libraries listed below
Sorting:
- ☆53Updated 4 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆97Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- Papers and Codes about Deep Metric Learning/Deep Embedding☆35Updated 5 years ago
- tf2.0 implementation of circle loss☆32Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- code for triplet GAN☆31Updated 7 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 6 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 7 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- ☆32Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)☆79Updated 2 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 6 years ago
- Implementation for <Neural Similarity Learning> in NeurIPS'19.☆33Updated 5 years ago
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Updated 3 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆66Updated 3 years ago
- "Efficient end-to-end learning for quantizable representations" accepted at ICML2018☆66Updated 7 years ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆66Updated 5 years ago
- A tensorflow implementation of Wide Residual Networks(https://arxiv.org/abs/1605.07146)☆21Updated 7 years ago
- ☆34Updated 6 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Updated 5 years ago
- a list of recent papers on transfer learning☆24Updated 7 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 6 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- ☆51Updated 6 years ago