BatsResearch / cspLinks
Learning to compose soft prompts for compositional zero-shot learning.
☆89Updated last year
Alternatives and similar repositories for csp
Users that are interested in csp are comparing it to the libraries listed below
Sorting:
- 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
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆116Updated 3 years ago
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆57Updated 2 years ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated last year
- PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.☆117Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆51Updated last year
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆164Updated last year
- Toolkit for Elevater Benchmark☆72Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆102Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆167Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- ☆191Updated 2 years ago
- ☆167Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 7 months ago
- [ICLR 2023] Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning"☆59Updated 2 years ago
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆56Updated last year
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆46Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆50Updated 2 years ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year
- ☆61Updated 2 years ago
- ☆41Updated 5 months ago
- ☆59Updated last year
- This repository provides data for the VAW dataset as described in the CVPR 2021 paper titled "Learning to Predict Visual Attributes in th…☆66Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆105Updated last year
- ☆29Updated last year
- [CVPR 2023] Learning Attention as Disentangler for Compositional Zero-shot Learning☆39Updated last year
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆33Updated 2 years ago
- VQACL: A Novel Visual Question Answering Continual Learning Setting (CVPR'23)☆39Updated last year