Visual Question Answering
29개 벤치마크 · 논문 2,881편 · 이 태스크의 논문 보기 →
Benchmarks
MM-Vet
MM-Vet v2
ViP-Bench
VQA v2 test-dev
BenchLMM
MMBench
V*bench
MSRVTT-QA
VQA v2 val
VQA v2 test-std
VQA v2
MMHal-Bench
MSVD-QA
PlotQA-D1
PlotQA-D2
AID-VQA
AMBER
CLEVR
EarthVQA
GQA
GRIT
MapEval-Visual
RSVQA-HR
SIRI-WHU
TextVQA test-standard
VisualMRC
VizWiz
Most implemented
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
VQA: Visual Question Answering
A simple neural network module for relational reasoning
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Visual Instruction Tuning
Papers
UniWAM: Unified World-Action Model
Vision-language-action models benefit from the understanding and reasoning capabilities of pretrained vision-language models, but action-only supervision provides limited grounding in world dynamics. Conversely, world-ac…
Visual Question AnsweringInstruction FollowingVideo GenerationFusing Visual and Textual Representations via Multi-layer Fusing Transformers for Vietnamese Visual Question Answering
In recent decades, artificial intelligence has made significant progress in understanding and interacting with images. One of the important applications of this technology is Visual Question Answering (VQA), a research f…
Visual Question AnsweringTables Decoded: DELTA for Structure, TARQA for Understanding
Table understanding is a core task in document intelligence, encompassing two key subtasks: table reconstruction and table visual question answering (TabVQA). While recent approaches predominantly rely on vision- languag…
Visual Question AnsweringBrainFocus: EEG-Guided ROI Selection for Efficient Vision-Language Models
Vision-language models (VLMs) achieve strong visual question answering (VQA) performance, but processing large cluttered images is computationally expensive when only a small region is relevant. Electroencephalography (E…
Visual Question AnsweringDriveMCP: An Agentic AI framework for Advanced Driver Assistance System
An agentic AI driver-assistance framework that integrates perception, compliance reasoning, vehicle-state interpretation, and safety arbitration into a modular and auditable pipeline. The architecture, referred to as Dri…
Visual Question AnsweringScene UnderstandingNot Another Text Benchmark: Putting the "Visual" Back in Visual Question Answering for Large Video Models
Large video models have exhibited impressive performance on a wide range of visual question answering tasks, owing to the rise of powerful, pretrained text and vision encoders. The usefulness of such models have also bee…
Visual Question Answering