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Visual Question Answering

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Showing 1726–1750 of 2177 papers

TitleStatusHype
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
New Ideas and Trends in Deep Multimodal Content Understanding: A Review—0
NEWSKVQA: Knowledge-Aware News Video Question Answering—0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning—0
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering—0
Normalized and Geometry-Aware Self-Attention Network for Image Captioning—0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks—0
Object-based reasoning in VQA—0
Object-Centric Diagnosis of Visual Reasoning—0
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases—0
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving—0
OMCAT: Omni Context Aware Transformer—0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization—0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—0
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering—0
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints—0
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints—0
On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study—0
On the Effects of Video Grounding on Language Models—0
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering—0
On the Flip Side: Identifying Counterexamples in Visual Question Answering—0
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—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