tiangeluo / fsl-globalLinks
Few-Shot Learning with Global Class Representations
☆74Updated 3 years ago
Alternatives and similar repositories for fsl-global
Users that are interested in fsl-global are comparing it to the libraries listed below
Sorting:
- This repository contains the code for Instance Credibility Inference (ICI).☆85Updated 4 years ago
- The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.☆56Updated 4 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆157Updated 6 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆200Updated 2 years ago
- [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning☆62Updated 4 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 3 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 5 years ago
- Few shot learning☆155Updated 4 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆89Updated last year
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆49Updated 5 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆214Updated 5 years ago
- ☆86Updated 4 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 5 years ago
- Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning☆20Updated 5 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- VPE logos☆55Updated last year
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago
- SSL-FEW-SHOT☆172Updated 5 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 years ago
- ☆115Updated 4 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆175Updated 5 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆63Updated 7 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 6 years ago
- Domain Adaptation Based on the Triplet Loss☆113Updated 6 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆152Updated 4 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 5 years ago