Alternatives and similar repositories for MEAT-TIL:

Users that are interested in MEAT-TIL are comparing it to the libraries listed below

• UMBCvision / ISD
  ISD: Self-Supervised Learning by Iterative Similarity Distillation
  ☆36Updated 3 years ago
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆25Updated 2 years ago
• shashankvkt / AlignMixup_CVPR22
  Official Implementation of AlignMixup - CVPR 2022
  ☆72Updated 2 years ago
• koncle / TSMLDG
  Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
  ☆28Updated 4 years ago
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• JiwonCocoder / ConMatch
  ☆30Updated 2 years ago
• VICO-UoE / MTPSL
  Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022
  ☆48Updated last year
• usr922 / FST
  [NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.
  ☆33Updated 2 years ago
• munanning / MADA
  Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)
  ☆44Updated 3 years ago
• zbr17 / AVSL
  [CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning
  ☆35Updated 2 years ago
• CupidJay / Tobias
  official pytorch implementation of Tobias: A random CNN sees objects and its applications in self-supervised learning.
  ☆28Updated 3 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆68Updated 2 years ago
• yichen928 / ActiveFT
  Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…
  ☆48Updated last year
• DTennant / CL-Visualizing-Feature-Transformation
  Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
  ☆90Updated 3 years ago
• scok30 / MAE-CIL
  Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
  ☆41Updated 9 months ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆58Updated last year
• jmiemirza / DUA
  The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)
  ☆54Updated 2 years ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 3 years ago
• clovaai / SSUL
  [NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
  ☆61Updated 2 years ago
• zhangchbin / RCIL
  [CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation
  ☆101Updated last year
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 3 years ago
• JosephKJ / ELI
  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning
  ☆50Updated 2 years ago
• Panxjia / SPA_CVPR2021
  The official implementaion of SPA_CVPR2021 paper
  ☆45Updated 3 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• valeoai / FOUND
  PyTorch code for Unsupervised Object Localization: Observing the Background to Discover Objects
  ☆69Updated last year
• jxhuang0508 / FSDR
  FSDR: Frequency Space Domain Randomization for Domain Generalization
  ☆39Updated 3 years ago
• mv-lab / ViT-FGVC8
  "Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8
  ☆27Updated 3 years ago
• saic-fi / Bayesian-Prompt-Learning
  [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization
  ☆31Updated last year
• ali-chr / Semantic-aware-Knowledge-Distillation-for-Few-ShotClass-Incremental-Learning
  CVPR2021
  ☆12Updated 4 years ago
• eccv22-ood-workshop / ROBIN-dataset
  ECCV 2022 Workshop: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
  ☆45Updated last year