deeplearning-wisc / MCM
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
☆73Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for MCM
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆81Updated 3 months ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆40Updated 7 months ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆145Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆44Updated last week
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆61Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆25Updated 10 months ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆105Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆81Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆51Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆29Updated 5 months ago
- ☆13Updated last month
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆93Updated 10 months ago
- This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…☆26Updated 9 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆94Updated 8 months ago
- ☆59Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆67Updated 7 months ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆97Updated 9 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆146Updated 11 months ago
- Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, arXiv2024]☆64Updated 3 months ago
- ☆50Updated 11 months ago
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection☆19Updated 6 months ago
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆20Updated last year
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆90Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆81Updated 8 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆122Updated 2 months ago
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆64Updated 3 weeks ago
- Domain Generalization through Distilling CLIP with Language Guidance☆24Updated last year
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆15Updated 2 months ago