Alternatives and similar repositories for DropPos

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

• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆107Updated 8 months ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆80Updated 2 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆108Updated 2 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆94Updated last year
• OliverRensu / ARM
  [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
  ☆90Updated 7 months ago
• AbrahamYabo / SdAE
  ☆63Updated 2 years ago
• liuzhuang13 / bias
  ☆113Updated last year
• JieShibo / PETL-ViT
  [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
  ☆198Updated 2 years ago
• gkakogeorgiou / attmask
  [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling
  ☆74Updated last year
• Haoqing-Wang / LocalMIM
  [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction
  ☆55Updated 2 years ago
• TonyLianLong / CrossMAE
  Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
  ☆129Updated 9 months ago
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆72Updated last year
• Atten4Vis / CAE
  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
  ☆122Updated 2 years ago
• OpenGVLab / Siamese-Image-Modeling
  [CVPR 2023]Implementation of Siamese Image Modeling for Self-Supervised Vision Representation Learning
  ☆41Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆91Updated 2 years ago
• UMass-Embodied-AGI / Mod-Squad
  ☆92Updated 2 years ago
• facebookresearch / r-mae
  PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411
  ☆113Updated 2 years ago
• DavidYanAnDe / ARC
  ☆34Updated 2 years ago
• andytu28 / VQT
  ☆22Updated 2 years ago
• wgcban / adamae
  [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
  ☆84Updated last year
• XuZhengzhuo / LiVT
  LiVT PyTorch Implementation.
  ☆72Updated 2 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆57Updated last year
• wangf3014 / Adventurer
  ☆28Updated 10 months ago
• visinf / adapter_plus
  Adapters Strike Back (CVPR 2024)
  ☆40Updated last year
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.
  ☆97Updated 2 months ago
• scok30 / MAE-CIL
  Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
  ☆45Updated last year
• Sense-X / MixMIM
  MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
  ☆146Updated 2 years ago
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆106Updated 2 years ago
• alinlab / ifseg
  IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)
  ☆95Updated 2 years ago
• WalBouss / GEM
  [CVPR24] Official Implementation of GEM (Grounding Everything Module)
  ☆135Updated 9 months ago