ExplainableML / WaffleCLIP
Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"
☆57Updated last year
Alternatives and similar repositories for WaffleCLIP
Users that are interested in WaffleCLIP are comparing it to the libraries listed below
Sorting:
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated last year
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆57Updated last year
- Compress conventional Vision-Language Pre-training data☆51Updated last year
- ☆24Updated 11 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆44Updated last month
- Augmenting with Language-guided Image Augmentation (ALIA)☆76Updated last year
- ☆26Updated last year
- ☆13Updated 2 years ago
- This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…☆28Updated last year
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆32Updated 2 years ago
- Create generated datasets and train robust classifiers☆35Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 6 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆105Updated last year
- ☆59Updated last year
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆52Updated last year
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆14Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆46Updated last year
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆116Updated 3 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆39Updated last year
- [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding☆49Updated last month
- ☆50Updated 2 months ago
- This repository houses the code for the paper - "The Neglected of VLMs"☆28Updated last week
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆39Updated 4 months ago
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆72Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆184Updated 2 years ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆99Updated last year