mdabbah / COOD_benchmarkingLinks
☆16Updated last year
Alternatives and similar repositories for COOD_benchmarking
Users that are interested in COOD_benchmarking are comparing it to the libraries listed below
Sorting:
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆26Updated 8 months ago
- [ICCV 2023] Black Box Few-Shot Adaptation for Vision-Language models☆25Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆39Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆59Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- ☆13Updated 3 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆70Updated 6 months ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆103Updated 2 years ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆56Updated 6 months ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆40Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 2 years ago
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"☆11Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆83Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- Official PyTorch implementation of MIRO (ECCV 2022)☆87Updated 3 years ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆30Updated 2 years ago
- ☆115Updated 2 years ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆55Updated last year
- ☆174Updated last year
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆26Updated 2 years ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆96Updated 4 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆110Updated last year
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated last year