Mitigating_Gender_Bias_In_Captioning_System

Image captioning bias study

An investigation into bias in image captioning systems using a dataset and a new model design to mitigate this bias

under review

GitHub

13 stars
4 watching
2 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
lukemelas/image-paragraph-captioning Trains image paragraph captioning models to generate diverse and accurate captions 90
visionjo/facerec-bias-bfw This project provides a data proxy to evaluate bias in facial recognition systems across demographic groups. 46
i-gallegos/fair-llm-benchmark Compiles bias evaluation datasets and provides access to original data sources for large language models 110
chapternewscu/image-captioning-with-semantic-attention A deep learning model for generating image captions with semantic attention 51
tolga-b/debiaswe Removes problematic gender bias from word embeddings to create more neutral representations. 243
contextualai/lens Enhances language models to generate text based on visual descriptions of images 351
deeprnn/image_captioning This implementation allows users to generate captions from images using a neural network model with visual attention. 786
nyu-mll/bbq A dataset and benchmarking framework to evaluate the performance of question answering models on detecting and mitigating social biases. 87
privacytrustlab/bias_in_fl Analyzing bias propagation in federated learning algorithms to improve group fairness and robustness 11
jiasenlu/adaptiveattention Adaptive attention mechanism for image captioning using visual sentinels 334
dssg/aequitas Toolkit to audit and mitigate biases in machine learning models 694
ethicalml/xai An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance 1,125
rudinger/winogender-schemas A dataset of manually crafted sentence templates to evaluate the presence of gender bias in natural language processing systems 68
dvlab-research/lisa A system that uses large language models to generate segmentation masks for images based on complex queries and world knowledge. 1,861
dib-lab/2012-paper-diginorm Provides source code and analysis pipeline for evaluating an image normalization technique using publicly available data 8