A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).
☆49Jul 24, 2020Updated 5 years ago
Alternatives and similar repositories for IDeMe-Net
Users that are interested in IDeMe-Net are comparing it to the libraries listed below
Sorting:
- [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning☆62Jan 4, 2021Updated 5 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Jul 8, 2019Updated 6 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆88Mar 19, 2024Updated last year
- ☆12Apr 28, 2020Updated 5 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Aug 30, 2021Updated 4 years ago
- This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition"…☆53Aug 8, 2019Updated 6 years ago
- Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"☆33Nov 6, 2019Updated 6 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆121Mar 19, 2020Updated 5 years ago
- (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition☆40May 27, 2021Updated 4 years ago
- 2nd place solution of ECCV 2020 workshop VIPriors Image Classification Challenge, https://arxiv.org/abs/2008.00261☆13Aug 22, 2021Updated 4 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Apr 23, 2022Updated 3 years ago
- Repository for the paper "Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition"☆47Mar 22, 2022Updated 3 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Jun 20, 2022Updated 3 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Jan 24, 2021Updated 5 years ago
- ☆116Jan 19, 2021Updated 5 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Jul 15, 2021Updated 4 years ago
- Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid☆15Dec 6, 2022Updated 3 years ago
- [ECCV18] Constraint-Aware Deep Neural Network Compression☆12Sep 11, 2018Updated 7 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆85Jun 7, 2021Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Mar 25, 2021Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆17May 15, 2024Updated last year
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Apr 4, 2020Updated 5 years ago
- ☆13Apr 7, 2022Updated 3 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆217Sep 3, 2020Updated 5 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,074Oct 22, 2019Updated 6 years ago
- A curated list of resources about few-shot and one-shot learning☆284Apr 22, 2019Updated 6 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆36Aug 18, 2020Updated 5 years ago
- NIST-FSD: a benchmark for few-shot object detection.☆15Jun 5, 2019Updated 6 years ago
- ☆19May 11, 2021Updated 4 years ago
- Experimental framework for running pytorch experiments☆14Mar 6, 2023Updated 2 years ago
- This is the official repository for Batch Level Distillation (BLD)☆15Jan 25, 2021Updated 5 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Feb 7, 2021Updated 5 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Dec 19, 2019Updated 6 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Jul 23, 2018Updated 7 years ago