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Found 2 papers, 1 papers with code
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering
By using instance-specific rules as prompt, GPT-4, as an automatic evaluator, can achieve a stable evaluation accuracy of around 97. 0\%, comparable to the 94. 9\% - 97. 5\% accuracy of a human evaluator.
NIST: An Image Classification Network to Image Semantic Retrieval
This paper proposes a classification network to image semantic retrieval (NIST) framework to counter the image retrieval challenge.
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