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Visual Question Answering

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Showing 1571–1580 of 2177 papers

TitleStatusHype
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation—0
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization—0
Visual Question Answering Using Semantic Information from Image Descriptions—0
Characterizing Misclassifications of Deep NLP Models—0
Robustness Analysis of Visual QA Models by Basic Questions—0
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
Robust Visual Question Answering: Datasets, Methods, and Future Challenges—0
Robust Visual Reasoning via Language Guided Neural Module Networks—0
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset—0
Visual Question Answering (VQA) on Images with Superimposed Text—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