locuslab / FLYP
Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
☆97Updated last year
Alternatives and similar repositories for FLYP:
Users that are interested in FLYP are comparing it to the libraries listed below
- ☆181Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆163Updated 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
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆56Updated last year
- ☆164Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆73Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆154Updated last year
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆110Updated 2 years ago
- ☆59Updated 3 years ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆157Updated last year
- Toolkit for Elevater Benchmark☆70Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆172Updated 11 months ago
- ☆51Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆107Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆273Updated 2 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆225Updated last year
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆134Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆103Updated last year
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆66Updated 2 years ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆75Updated 10 months ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆175Updated last year
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆187Updated 2 months ago
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆68Updated last year
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆175Updated last year
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆101Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆97Updated last year
- ☆58Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆86Updated 11 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆88Updated 2 years ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆82Updated 2 years ago