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Visual Question Answering

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Papers

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Showing 1151–1175 of 2177 papers

TitleStatusHype
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
Integrating Knowledge and Reasoning in Image Understanding—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Interactive Visual Task Learning for Robots—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Interpretable Counting for Visual Question Answering—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—0
Interpretable Neural Computation for Real-World Compositional Visual Question Answering—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool—0
Inverse Visual Question Answering with Multi-Level Attentions—0
Investigating Biases in Textual Entailment Datasets—0
ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
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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