Discover princetonvisualai/OverlookedFactors Open Source project

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Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)

revise-tool

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999

Jupyter Notebook

111

DomainBiasMitigation

Python

gan-debiasing

Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)

Python

imagenet-face-obfuscation

Code for the paper "A Study of Face Obfuscation in ImageNet"

Python

multimodal_dataset_distillation

Python

RememberThePast-DatasetDistillation

Python

MQVR

Python

ContextualBias

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias (ML Reproducibility Challenge 2020)

Python

HIVE

HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)

HTML

pointingqa

Code for paper "Point and Ask: Incorporating Pointing into Visual Question Answering"

Python

directional-bias-amp

https://arxiv.org/abs/2102.12594

Python

SPICE-U

Python

imagecaptioning-bias

Code for the paper "Understanding and Evaluating Racial Biases in Image Captioning"

Python

What-is-Dataset-Distillation-Learning

Jupyter Notebook

conceptmix

Python

overcoming-pretraining-bias

Python

HAT

Python

geode_dataset

Python

gender-artifacts

https://arxiv.org/abs/2206.09191

Jupyter Notebook

hpe-inductive-prior-tuning

Jupyter Notebook

VLNActionPriors

Python

imagenetood

Jupyter Notebook

princetonvisualai/OverlookedFactors

princetonvisualai

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