(CVPR2024) MeaCap: Memory-Augmented Zero-shot Image Captioning

Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)

[CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification

The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687

ClassDiffusion: Official impl. of Paper "ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance"

The official implementation of CVPR2024 paper:"Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples"

[CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"

Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]

[NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

[ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

A curated list of prompt/adapter learning methods for vision-language models.

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A collection of implementations of deep domain adaptation algorithms

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

[NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"

[CVPR2022] PyTorch re-implementation of Prompt Distribution Learning

Official Implementation of LADS (Latent Augmentation using Domain descriptionS)

[NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization