mu-cai / FRL
Code for WACV 2023 paper "Out-of-distribution Detection via Frequency-regularized Generative Models" by Mu Cai and Yixuan Li
☆10Updated last year
Alternatives and similar repositories for FRL:
Users that are interested in FRL are comparing it to the libraries listed below
- ☆15Updated 3 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated last year
- Code for Debiasing Vision-Language Models via Biased Prompts☆57Updated last year
- CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)☆26Updated 2 years ago
- ☆22Updated 10 months ago
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆56Updated 10 months ago
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆11Updated 8 months ago
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆36Updated last year
- https://arxiv.org/abs/2209.15162☆49Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆67Updated 3 years ago
- Toolkit for Elevater Benchmark☆70Updated last year
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆63Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆111Updated last year
- ☆63Updated 2 years ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆98Updated last year
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆135Updated last year
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Updated 2 years ago
- Create generated datasets and train robust classifiers☆35Updated last year
- ☆26Updated last year
- Visual Language Transformer Interpreter - An interactive visualization tool for interpreting vision-language transformers☆91Updated last year
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …☆68Updated 3 years ago