Haochen-Wang409 / DropPos
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
☆60Updated last year
Alternatives and similar repositories for DropPos
Users that are interested in DropPos are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆75Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆83Updated last year
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling☆93Updated 3 weeks ago
- ☆59Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated last year
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆48Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆55Updated last year
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆109Updated last month
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆47Updated last year
- ☆109Updated last year
- [BMVC 2024] PlainMamba: Improving Non-hierarchical Mamba in Visual Recognition☆77Updated last month
- ☆52Updated 2 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆42Updated 11 months ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆82Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆107Updated last year
- This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision☆77Updated 10 months ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆82Updated 2 years ago
- Implementation of "VL-Mamba: Exploring State Space Models for Multimodal Learning"☆81Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆68Updated last year
- [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"☆69Updated last year
- [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling☆72Updated last year
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆142Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 3 months ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆186Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆47Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆38Updated last year
- Learning 1D Causal Visual Representation with De-focus Attention Networks☆34Updated 11 months ago
- ☆86Updated 2 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆63Updated last month