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Visual Question Answering: A Survey on Architectures, Datasets, Evaluation Metrics and Applications

https://doi.org/10.2139/ssrn.7417407
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10462-020-09832-7openalex-snapshot
Visual question answering: a state-of-the-art review
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-snapshot
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1016/0010-0285(72)90002-3openalex-snapshot
Understanding natural language
inferredcites →https://doi.org/10.1016/j.cviu.2017.06.005openalex-snapshot
Visual question answering: Datasets, algorithms, and future challenges
inferredcites →https://doi.org/10.1016/j.imavis.2021.104327openalex-snapshot
A survey of methods, datasets and evaluation metrics for visual question answering
inferredcites →https://doi.org/10.1016/j.inffus.2024.102270openalex-snapshot
From image to language: A critical analysis of Visual Question Answering (VQA) approaches, challenges, and opportunities
inferredcites →https://doi.org/10.1023/b:bttj.0000047600.45421.6dopenalex-snapshot
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
inferredcites →https://doi.org/10.1109/access.2021.3090981openalex-snapshot
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
inferredcites →https://doi.org/10.1109/isbi48211.2021.9434010openalex-snapshot
Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering
inferredcites →https://doi.org/10.1109/tgrs.2020.2988782openalex-snapshot
RSVQA: Visual Question Answering for Remote Sensing Data
inferredcites →https://doi.org/10.1109/tgrs.2023.3276293openalex-snapshot
SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery
inferredcites →https://doi.org/10.1109/tkde.2023.3267036openalex-snapshot
Event-Oriented Visual Question Answering: The E-VQA Dataset and Benchmark
inferredcites →https://doi.org/10.1145/1866029.1866080openalex-snapshot
VizWiz
inferredcites →https://doi.org/10.1145/3728635openalex-snapshot
Visual Question Answering: A Survey of Methods, Datasets, Evaluation, and Challenges
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1609/aaai.v34i07.7005openalex-snapshot
Unified Vision-Language Pre-Training for Image Captioning and VQA
inferredcites →https://doi.org/10.1609/aaai.v38i6.28357openalex-snapshot
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.32604/cmc.2022.021671openalex-snapshot
BERT-CNN: A Deep Learning Model for Detecting Emotions from Text
inferredcites →https://doi.org/10.52202/068431-1723openalex-snapshot
Flamingo: A Visual Language Model for Few-Shot Learning
inferredcites →https://doi.org/10.52202/068431-2384openalex-snapshot
VLMo: Unified Vision-Language Pre-Training with Mixture-Of-Modality-Experts
inferredcites →https://doi.org/10.52202/075280-1516openalex-snapshot
Visual Instruction Tuning
inferredcites →https://doi.org/10.52202/075280-2142openalex-snapshot
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
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