tmensink / deepncm
DeepNCM: Deep Nearest Class Mean Classifiers
☆13Updated 6 years ago
Alternatives and similar repositories for deepncm:
Users that are interested in deepncm are comparing it to the libraries listed below
- implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network☆38Updated 6 years ago
- Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019☆19Updated 5 years ago
- ☆46Updated 2 years ago
- PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs☆24Updated 2 years ago
- ☆19Updated 5 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Updated 4 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Updated 6 years ago
- Implementation of method described in http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Rel…☆32Updated 5 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- ☆19Updated 5 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 4 years ago
- [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)☆45Updated 4 months ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 8 months ago
- [ICLR 2020] Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma, "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifie…☆20Updated 3 years ago
- ☆34Updated 6 years ago
- PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf☆13Updated 5 years ago
- [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation☆30Updated 4 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆39Updated 5 years ago
- Continual learning using variational prototype replays☆9Updated 4 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Updated 4 years ago
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆34Updated 3 years ago