Alternatives and similar repositories for LargeLossMatters

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

• HCPLab-SYSU / HCP-MLR-PL
  Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)
  ☆39Updated 11 months ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆70Updated last year
• Correr-Zhou / SPML-AckTheUnknown
  [ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".
  ☆44Updated 11 months ago
• naver-ai / cmo
  ☆46Updated 2 years ago
• xiangly55 / LFME
  Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight
  ☆38Updated 4 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆93Updated 3 years ago
• sungnyun / openssl-simcore
  (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
  ☆28Updated last year
• YUE-FAN / CoSSL
  Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…
  ☆53Updated 2 years ago
• Gank0078 / ACR
  Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)
  ☆71Updated 2 years ago
• hbdat / cvpr20_IMCL
  Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20
  ☆22Updated 3 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆29Updated 4 years ago
• elijahcole / single-positive-multi-label
  Multi-Label Learning from Single Positive Labels - CVPR 2021
  ☆97Updated last year
• richard-peng-xia / LMPT
  [ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
  ☆52Updated 10 months ago
• frank-xwang / debiased-pseudo-labeling
  [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”
  ☆99Updated 2 years ago
• akshitac8 / Generative_MLZSL
  [TPAMI 2023] Generative Multi-Label Zero-Shot Learning
  ☆52Updated last year
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆29Updated last year
• bluecdm / Long-tailed-recognition
  ☆25Updated last year
• Wangt-CN / CaaM
  [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition
  ☆79Updated last year
• xinyu1205 / robust-loss-mlml
  Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
  ☆52Updated 2 years ago
• Keke921 / GCLLoss
  official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.
  ☆41Updated last month
• Kaile-Du / AGCN
  ☆12Updated 3 years ago
• UMBCvision / ISD
  ISD: Self-Supervised Learning by Iterative Similarity Distillation
  ☆36Updated 3 years ago
• deeplearning-wisc / multi-label-ood
  ☆44Updated 3 years ago
• MrChenFeng / MaskCon_CVPR2023
  MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
  ☆34Updated 3 months ago
• Yikai-Wang / SPR-LNL
  This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.
  ☆18Updated last year
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated 2 years ago
• starmemda / MlTr
  ☆42Updated 4 years ago
• acmi-lab / CHILS
  Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
  ☆57Updated 2 years ago
• jameslahm / SCPNet
  Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [CVPR 2023]
  ☆13Updated last year