GitGyun / visual_token_matchingLinks
[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
☆253Updated last year
Alternatives and similar repositories for visual_token_matching
Users that are interested in visual_token_matching are comparing it to the libraries listed below
Sorting:
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆97Updated 3 months ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆280Updated 3 years ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆112Updated last year
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆310Updated last year
- Reading list for research topics in Masked Image Modeling☆334Updated 6 months ago
- Official implementation of TCL (CVPR 2023)☆113Updated 2 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆182Updated last year
- ☆60Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆176Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆232Updated last year
- (TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.☆182Updated last year
- Is synthetic data from generative models ready for image recognition?☆183Updated 2 years ago
- Open-vocabulary Semantic Segmentation☆175Updated 2 years ago
- Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kort…☆128Updated 3 months ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆83Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆198Updated 2 years ago
- ☆258Updated 2 years ago
- Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)☆447Updated 2 years ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆113Updated 2 years ago
- Official implementation of SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference☆156Updated 8 months ago
- [CVPR 2023] Official repository of Generative Semantic Segmentation☆215Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆56Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆167Updated last year
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆258Updated last year
- Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)☆166Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆83Updated last year
- IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)☆90Updated last year
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated last year
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆118Updated 3 months ago