Alternatives and similar repositories for BootMAE

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

• TencentARC / ConMIM
  Official codes for ConMIM (ICLR 2023)
  ☆58Updated 2 years ago
• facebookresearch / asym-siam
  PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)
  ☆99Updated 3 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆57Updated 2 years ago
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆84Updated last year
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 3 years ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆80Updated 3 years ago
• facebookresearch / long_seq_mae
  code release of research paper "Exploring Long-Sequence Masked Autoencoders"
  ☆100Updated 3 years ago
• Sense-X / TokenMix
  TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
  ☆95Updated 3 years ago
• OpenDriveLab / maskalign
  [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"
  ☆70Updated 7 months ago
• Hxyou / MSCLIP
  Official Code of ECCV 2022 paper MS-CLIP
  ☆91Updated 3 years ago
• mingkai-zheng / ReSSL
  ReSSL: Relational Self-Supervised Learning with Weak Augmentation
  ☆58Updated 4 years ago
• facebookresearch / r-mae
  PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411
  ☆113Updated 2 years ago
• ZhangYuanhan-AI / OmniBenchmark
  [ECCV2022] New benchmark for evaluating pre-trained model; New supervised contrastive learning framework.
  ☆110Updated 2 years ago
• CVMI-Lab / SlotCon
  (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
  ☆97Updated 10 months ago
• CASIA-LMC-Lab / Obj2Seq
  Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks (NeurIPS2022)
  ☆85Updated 3 years ago
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆176Updated 2 years ago
• Jiahao000 / ORL
  [NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images
  ☆58Updated 4 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆85Updated 3 years ago
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• pals-ttic / adapting-CLIP
  ☆65Updated 2 years ago
• Vibashan / Mask-free-OVIS
  Official Pytorch codebase for Open-Vocabulary Instance Segmentation without Manual Mask Annotations [CVPR 2023]
  ☆52Updated 3 months ago
• alinlab / SelfPatch
  ☆61Updated 2 years ago
• gaopengcuhk / Container
  Official Code Release for Container : Context Aggregation Network
  ☆46Updated 4 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆109Updated 2 years ago
• AbrahamYabo / SdAE
  ☆64Updated 3 years ago
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆53Updated 2 years ago
• facebookresearch / OTTER
  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …
  ☆71Updated 4 years ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆183Updated last year
• yuhangzang / UPT
  ☆61Updated 9 months ago
• Alpha-VL / FastConvMAE
  ☆59Updated 3 years ago