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Visual Question Answering

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Showing 1771–1780 of 2177 papers

TitleStatusHype
Learning to Model and Ignore Dataset Bias with Mixed Capacity EnsemblesCode0
An Improved Attention for Visual Question AnsweringCode0
Reasoning Over History: Context Aware Visual Dialog—0
Can Pre-training help VQA with Lexical Variations?—0
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks—0
CapWAP: Image Captioning with a Purpose—0
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance ViewCode0
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions—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