Alternatives and similar repositories for HGNN

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

• chenghao-ch94 / AGNN
  [MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version
  ☆15Updated 2 years ago
• shiming-chen / MSDN
  Official PyTorch Implementation of MSDN (CVPR'22)
  ☆53Updated 2 years ago
• XLearning-SCU / 2021-CVPR-MvCLN
  PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
  ☆51Updated 3 years ago
• zhangdoudou123 / SemFew
  [CVPR2024] Simple Semantic-Aided Few-Shot Learning
  ☆45Updated 10 months ago
• XLearning-SCU / 2024-ICML-TAC
  Code for the paper "Image Clustering with External Guidance" (ICML 2024)
  ☆59Updated 8 months ago
• ljin0429 / HIST
  Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning [CVPR'22]
  ☆23Updated 3 years ago
• StomachCold / HCTransformers
  ☆61Updated last year
• alinlab / PsCo
  Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
  ☆56Updated last year
• facebookresearch / noisy_few_shot
  Few-shot learning with mislabeled support samples
  ☆43Updated 2 years ago
• mlvlab / TokenMixup
  Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
  ☆48Updated 2 years ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆70Updated last year
• cvlab-stonybrook / fsl-rsvae
  ☆34Updated 2 years ago
• plai-group / simple-cnaps
  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…
  ☆58Updated 2 years ago
• lixinustc / GraphAdapter
  The efficient tuning method for VLMs
  ☆80Updated last year
• wyc-ruiker / HKD
  Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"
  ☆43Updated 3 years ago
• huangjk97 / T2T
  Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
  ☆25Updated 3 years ago
• maple-research-lab / CaCo
  CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
  ☆22Updated last year
• bbbdylan / unisiam
  [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner
  ☆37Updated 2 years ago
• xjtuYW / PNP
  Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
  ☆16Updated last year
• DanielShalam / BPA
  ☆62Updated 3 months ago
• iCVTEAM / TDRG
  Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021
  ☆47Updated 3 years ago
• NWPUZhoufei / LDP-Net
  ☆43Updated 2 years ago
• Haoqing-Wang / CDFSL-ATA
  [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
  ☆67Updated 2 years ago
• HL-hanlin / SMKD
  Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers
  ☆42Updated 2 years ago
• tsun / LADA
  Local Context-Aware Active Domain Adaptation (ICCV 2023)
  ☆19Updated last year
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆69Updated last year
• corwinliu9669 / Learning-a-Few-shot-Embedding-Model-with-Contrastive-Learning
  This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)
  ☆62Updated 4 years ago
• cdb342 / IJCAI-2022-ZLA
  Codes for IJCAI'2022 Paper: Zero-Shot Logit Adjustment
  ☆19Updated 2 years ago
• tsun / SSRT
  Safe Self-Refinement for Transformer-based Domain Adaptation (CVPR 2022)
  ☆40Updated 3 years ago
• hbdat / cvpr20_LESA
  Shared Attention for Multi-label Zero-shot Learning accepted @ CVPR20
  ☆32Updated 3 years ago