BierOne

bottom-up-attention-vqa. An updated PyTorch implementation of hengyuan-hu's version for 'Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'

ood_coverage. [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

Attention-Faithfulness. [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https://arxiv.org/abs/2201.12114).

relation-vqa. Re-implementation for 'R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering'.

policy_privacy_benchmarks. This is a pytorch implementation for state-of-the-art results on policy privacy datasets (OPP-115).

RAGDataCurator. Python

VQA-AttReg. [ToMM' 22] This is an official PyTorch implementation of “Answer Questions with Right Image Regions: A Visual Attention Regularization Approach” (https://arxiv.org/abs/2102.01916).

CoCo. [TIP'24] Official PyTorch implementation of Concept Activation-Guided Contrast Learning.

genome-rcnn-features-for-bottom-up. This repository supplies the visual-genome features of bottom-up-attention