POPE

Object detector

An evaluation framework for detecting object hallucinations in vision-language models

The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''

GitHub

179 stars
1 watching
6 forks
Language: Python
last commit: 8 months ago

Related projects:

Repository Description Stars
openmoss/halluqa An evaluation framework for assessing the performance of large language models on question-answering tasks with hallucination detection 109
chengyangfu/retinamask A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. 339
goatmessi8/rfbnet An object detection system using a novel receptive field block module to enhance feature discriminability and robustness. 1,413
ibm/max-object-detector A tool for detecting objects in images using deep learning models 290
amazon-science/refchecker Automates fine-grained hallucination detection in large language model outputs 302
taokong/ron A deep learning framework for object detection tasks using a novel neural network architecture 355
danielhfnr/tensorflow-carla-object-detection A tool for training object detection classifiers using TensorFlow and Carla simulator data 8
junyangwang0410/haelm A framework for detecting hallucinations in large language models 17
damo-nlp-sg/vcd An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs 209
assafbk/mocha_code A unified framework and benchmark for detecting and mitigating hallucinations in open-vocabulary image captioning models 12
unsky/retinanet A Python implementation of the RetinaNet architecture with focal loss for dense object detection. 224
jxr326/swinmcnet A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images 16
bcdnlp/faithscore Evaluates answers generated by large vision-language models to assess hallucinations 25
yiyangzhou/lure Analyzing and mitigating object hallucination in large vision-language models to improve their accuracy and reliability. 134
liulei01/drbox An open-source deep learning framework for detecting rotated objects in images 421