YU1ut / imprinted-weightsLinks
Code for 'Low-Shot Learning with Imprinted Weights'
☆70Updated 6 years ago
Alternatives and similar repositories for imprinted-weights
Users that are interested in imprinted-weights are comparing it to the libraries listed below
Sorting:
- Few-Shot Learning with Localization in Realistic Settings☆47Updated 2 years ago
- Some projects from Xuanyi Dong.☆90Updated this week
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆49Updated 4 years ago
- (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…☆62Updated 5 years ago
- ☆69Updated 4 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Updated 3 years ago
- ☆58Updated last year
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Updated 2 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 6 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 7 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- Implementation of our proposed algorithm in domain adaptation for image classification☆66Updated 5 years ago
- CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition☆38Updated 7 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 6 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"☆27Updated 2 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- VPE logos☆55Updated last year
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- Ensembles of CNNs for few-shot image classification☆53Updated 4 years ago
- Minimal API for receptive field calculation in PyTorch☆67Updated 2 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆168Updated 2 years ago
- ☆132Updated 4 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated 2 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆139Updated 3 years ago