Alternatives and similar repositories for AGAM:

Users that are interested in AGAM are comparing it to the libraries listed below

• asrafulashiq / dynamic-cdfsl
  Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".
  ☆31Updated 2 years ago
• ArmanAfrasiyabi / associative-alignment-fs
  Code for "Associative alignment for few-shot image classification"- ECCV'2020.
  ☆20Updated 4 years ago
• chmxu / Dynamic-Meta-filter
  ☆25Updated 3 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆48Updated last year
• shiming-chen / MSDN
  Official PyTorch Implementation of MSDN (CVPR'22)
  ☆53Updated 2 years ago
• GANPerf / SAM
  ☆28Updated last year
• wenjiaXu / VGSE
  ☆37Updated 2 years ago
• BIT-DA / MetaSAug
  [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
  ☆62Updated 2 years ago
• cvlab-stonybrook / vfd-iccv21
  ☆18Updated 3 years ago
• FaisalAlamri0 / ViT-ZSL
  Multi-Headed Self-Attention via Vision Transformer for Zero-Shot Learning (ViT-ZSL)
  ☆32Updated 3 years ago
• xiaohua-chen / RISDA
  Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
  ☆27Updated last year
• facebookresearch / noisy_few_shot
  Few-shot learning with mislabeled support samples
  ☆40Updated 2 years ago
• MinkiJ / SnaTCHer
  [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency
  ☆25Updated 3 years ago
• rahulvigneswaran / Class-Balanced-Distillation-for-Long-Tailed-Visual-Recognition.pytorch
  Un-offical PyTorch Implementation of "Class-Balanced Distillation for Long-Tailed Visual Recognition" paper.
  ☆16Updated 3 years ago
• lovelyqian / Meta-FDMixup
  Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data
  ☆67Updated last year
• lileicv / PDEN
  ☆37Updated 3 years ago
• LouieYang / MCL
  Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)
  ☆51Updated 2 years ago
• Frankluox / Channel_Importance_FSL
  [ICML 2022] Channel Importance Matters in Few-shot Image Classification
  ☆58Updated last year
• mrkshllr / FewTURE
  Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]
  ☆59Updated 2 years ago
• shiyuanh / TANE
  Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"
  ☆27Updated 2 years ago
• NUST-Machine-Intelligence-Laboratory / weblyFG-dataset
  ☆25Updated 11 months ago
• StomachCold / HCTransformers
  ☆59Updated 9 months ago
• movinghoon / ESFR
  Official Repository for the paper "Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction" ICML 2021
  ☆13Updated 3 years ago
• mpatacchiola / contextual-squeeze-and-excitation
  Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 202…
  ☆24Updated 2 years ago
• MichalisLazarou / iLPC
  accepted at ICCV 2021
  ☆21Updated last month
• ljjcoder / CSEI
  Learning Intact Features by Erasing-Inpainting for Few-shot Classification
  ☆18Updated 2 years ago
• nayeemrizve / invariance-equivariance
  "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…
  ☆37Updated 2 years ago
• Phoenix-V / DiGeo
  Official Repo of DiGeo for Generalized Few-Shot Object Detection(CVPR'23)
  ☆48Updated 2 years ago
• syp2ysy / SVF
  [NeurIPS 2022] Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
  ☆72Updated last year
• cvlab-stonybrook / fsl-rsvae
  ☆34Updated 2 years ago