AminJun / ImageNet1KBoundingBoxesLinks
Pytorch ImageNet1k Loader with Bounding Boxes.
☆13Updated 3 years ago
Alternatives and similar repositories for ImageNet1KBoundingBoxes
Users that are interested in ImageNet1KBoundingBoxes are comparing it to the libraries listed below
Sorting:
- ☆32Updated last year
- Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion☆11Updated last year
- A simple and efficient baseline for data attribution☆11Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- ☆34Updated last year
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 3 years ago
- What do we learn from inverting CLIP models?☆55Updated last year
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆24Updated last year
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆43Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Updated 2 years ago
- ☆53Updated 2 years ago
- ☆14Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago