Alternatives and similar repositories for MIM-Refiner:

Users that are interested in MIM-Refiner are comparing it to the libraries listed below

• ml-jku / MAE-CT
  ☆32Updated last year
• naver / unic
  PyTorch code and pretrained weights for the UNIC models.
  ☆31Updated 8 months ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆78Updated 2 years ago
• OliverRensu / DeepMIM
  ☆52Updated 2 years ago
• naver / trex
  PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"
  ☆20Updated 2 years ago
• facebookresearch / r-mae
  PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411
  ☆113Updated last year
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 7 months ago
• tue-mps / benchmark-vfm-ss
  ☆30Updated this week
• naver-ai / prolip
  ☆50Updated last month
• rssaketh / MOST
  Official implementation of MOST: Multiple object localization with self-supervised transformers published at ICCV 2023
  ☆17Updated last year
• bwconrad / flexivit
  PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes
  ☆61Updated last year
• mcahny / rovit
  RO-ViT CVPR 2023 "Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers"
  ☆18Updated last year
• WalterSimoncini / fungivision
  Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"
  ☆36Updated 6 months ago
• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling
  ☆93Updated 2 weeks ago
• TonyLianLong / CrossMAE
  Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
  ☆108Updated 3 weeks ago
• Expedit-LargeScale-Vision-Transformer / Expedit-SAM
  [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fi…
  ☆84Updated last year
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆83Updated last year
• ChenhongyiYang / GPViT
  [ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
  ☆102Updated last year
• iancovert / locality-alignment
  ☆45Updated 3 months ago
• amazon-science / semi-vit
  PyTorch implementation of Semi-supervised Vision Transformers
  ☆58Updated 2 years ago
• alinlab / SelfPatch
  ☆58Updated last year
• OliverRensu / D-iGPT
  [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…
  ☆98Updated last year
• WalBouss / MaskInversion
  ☆23Updated 6 months ago
• cubeyoung / OTSeg
  The Official PyTorch Implementation of OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
  ☆30Updated 10 months ago
• noelshin / zutis
  [CVPRW'23 Best Paper Award] Zero-shot Unsupervised Transfer Instance Segmentation
  ☆24Updated last year
• kahnchana / clippy
  Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)
  ☆36Updated last year
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆28Updated last year
• vlfom / RNCDL
  [NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".
  ☆110Updated last year
• google-research / silc
  [ECCV 2024] Official Release of SILC: Improving vision language pretraining with self-distillation
  ☆43Updated 7 months ago
• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆60Updated last year