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Visual Question Answering

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Showing 641–650 of 2177 papers

TitleStatusHype
Answer-Type Prediction for Visual Question Answering—0
How good are deep models in understanding the generated images?—0
How to Design Sample and Computationally Efficient VQA Models—0
Breaking Down Questions for Outside-Knowledge VQA—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
Adversarial Multimodal Network for Movie Question Answering—0
Domain-robust VQA with diverse datasets and methods but no target labels—0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
Domain Adaptation of VLM for Soccer Video Understanding—0
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All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24—Unverified
2Qwen2-VL-72BGPT-4 score74—Unverified
3InternVL2.5-78BGPT-4 score72.3—Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2—Unverified
5Lyra-ProGPT-4 score71.4—Unverified
6GLM-4V-PlusGPT-4 score71.1—Unverified
7Phantom-7BGPT-4 score70.8—Unverified
8InternVL2.5-38BGPT-4 score68.8—Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6—Unverified
10Baichuan-Omni (7B)GPT-4 score65.4—Unverified