Haochen-Wang409 / DropPos
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
☆60Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for DropPos
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆68Updated last year
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆88Updated 11 months ago
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆44Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆99Updated last year
- [BMVC 2024] PlainMamba: Improving Non-hierarchical Mamba in Visual Recognition☆70Updated 3 months ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆91Updated 11 months ago
- ☆22Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆76Updated 9 months ago
- ☆101Updated 8 months ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆37Updated 5 months ago
- This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision☆64Updated 5 months ago
- ☆48Updated 5 months ago
- ☆32Updated last year
- The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745☆83Updated 9 months ago
- ☆56Updated last year
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆93Updated 3 months ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆31Updated last year
- The official implementation of "Adapter is All You Need for Tuning Visual Tasks".☆72Updated 2 months ago
- This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".☆30Updated 5 months ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆45Updated last year
- ☆21Updated last year
- ☆52Updated last year
- Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …☆31Updated last year
- [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders☆73Updated 9 months ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆51Updated 10 months ago
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆56Updated 3 months ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆171Updated last year
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆129Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆67Updated 10 months ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆55Updated last year