Alternatives and similar repositories for Dynamic-Few-Shot-Visual-Learning-without-Forgetting:

Users that are interested in Dynamic-Few-Shot-Visual-Learning-without-Forgetting are comparing it to the libraries listed below

• nupurkmr9 / S2M2_fewshot
  ☆113Updated 4 years ago
• chrysts / dsn_fewshot
  ☆90Updated 2 years ago
• Yikai-Wang / ICI-FSL
  This repository contains the code for Instance Credibility Inference (ICI).
  ☆83Updated 3 years ago
• ServiceNow / am3
  Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.
  ☆65Updated 2 years ago
• EliSchwartz / DeltaEncoder
  This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition"…
  ☆51Updated 5 years ago
• WenbinLee / ADM
  The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.
  ☆15Updated 4 years ago
• leokarlin / LaSO
  LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
  ☆86Updated 10 months ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆148Updated 3 years ago
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆137Updated 5 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• LegenDong / ATL-Net
  The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.
  ☆19Updated 4 years ago
• HongguangZhang / SalNet-cvpr19-master
  Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"
  ☆32Updated 5 years ago
• wuyuebupt / LargeScaleIncrementalLearning
  ☆70Updated 5 years ago
• hshustc / CVPR19_Incremental_Learning
  Learning a Unified Classifier Incrementally via Rebalancing
  ☆186Updated 3 years ago
• megvii-research / DPGN
  [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.
  ☆181Updated 6 months ago
• MIFA-Lab / globalfsl2019
  Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)
  ☆18Updated 2 years ago
• WenbinLee / DN4
  Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
  ☆194Updated last year
• xyutao / fscil
  Official repository for Few-Shot Class-Incremental Learning (FSCIL)
  ☆231Updated 4 years ago
• csyanbin / TPN-pytorch
  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆176Updated 3 years ago
• ylsung / gnn_few_shot_cifar100
  This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
  ☆86Updated 6 years ago
• tiangeluo / fsl-global
  Few-Shot Learning with Global Class Representations
  ☆74Updated 2 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆76Updated 4 years ago
• Bryce1010 / Awesome-Few-shot
  Awesome Few-shot learning
  ☆55Updated 5 years ago
• ServiceNow / TADAM
  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …
  ☆106Updated 2 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆96Updated last year
• mileyan / simple_shot
  ☆132Updated 3 years ago
• sairin1202 / BIC
  pytorch implementation of Large Scale Incremental Learning
  ☆64Updated 4 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆104Updated 3 years ago
• tankche1 / IDeMe-Net
  A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).
  ☆50Updated 4 years ago
• Clarifai / few-shot-ctm
  Few shot learning
  ☆155Updated 3 years ago