zejiangh / MILANLinks
PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.06049.pdf.
☆83Updated 3 years ago
Alternatives and similar repositories for MILAN
Users that are interested in MILAN are comparing it to the libraries listed below
Sorting:
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆56Updated last year
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆68Updated 2 years ago
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆53Updated last year
- ☆58Updated 3 months ago
- ☆59Updated 3 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆233Updated last year
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆152Updated 2 years ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆115Updated 3 years ago
- Official codes for ConMIM (ICLR 2023)☆60Updated 2 years ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆97Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆177Updated last year
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆97Updated 5 months ago
- ☆64Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆107Updated 2 years ago
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆103Updated 2 years ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated last year
- Official Pytorch codebase for Open-Vocabulary Instance Segmentation without Manual Mask Annotations [CVPR 2023]☆50Updated 7 months ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆184Updated last year
- Toolkit for Elevater Benchmark☆73Updated last year
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆113Updated 2 years ago
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆259Updated last year
- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)☆94Updated 2 years ago
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Updated 2 years ago
- [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"☆149Updated last year
- PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation"☆93Updated 2 years ago
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆143Updated 2 years ago
- [ICCV 2023] ALIP: Adaptive Language-Image Pre-training with Synthetic Caption☆97Updated last year
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated last year
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆65Updated 4 months ago
- ☆62Updated 2 years ago