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Visual Question Answering

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Showing 1401–1425 of 2177 papers

TitleStatusHype
Robust Visual Reasoning via Language Guided Neural Module Networks—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
RSVQA: Visual Question Answering for Remote Sensing Data—0
SAR Strikes Back: A New Hope for RSVQA—0
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering—0
SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering—0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis—0
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
Scene Graph Generation with Geometric Context—0
Scene Graph Reasoning for Visual Question Answering—0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations—0
Scene Understanding Enabled Semantic Communication with Open Channel Coding—0
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering—0
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes—0
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs—0
Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge—0
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors—0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding—0
Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models—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