Haochen-Wang409 / DropPos
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
☆60Updated 11 months ago
Alternatives and similar repositories for DropPos:
Users that are interested in DropPos are comparing it to the libraries listed below
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆74Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆104Updated last year
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆90Updated last year
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆41Updated 9 months ago
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆47Updated last year
- ☆58Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆81Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆81Updated last year
- This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision☆71Updated 9 months ago
- ☆106Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆53Updated last year
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆179Updated last year
- ☆21Updated 2 years ago
- [CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"☆41Updated 3 months ago
- [BMVC 2024] PlainMamba: Improving Non-hierarchical Mamba in Visual Recognition☆74Updated 7 months ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆104Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- ☆84Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆68Updated last year
- The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745☆96Updated last year
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆74Updated 8 months ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆38Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆47Updated last year
- (ICCV 2023) MasQCLIP for Open-Vocabulary Universal Image Segmentation☆37Updated last year
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆46Updated last year
- This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".☆33Updated last month
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆106Updated 3 months ago
- Adapters Strike Back (CVPR 2024)☆35Updated 8 months ago
- [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"☆69Updated last year
- PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆38Updated 2 years ago