Swapmix: Diagnosing and regularizing the over-reliance on visual context in visual question answering
Abstract While Visual Question Answering (VQA) has progressed rapidly, previous works
raise concerns about robustness of current VQA models. In this work, we study the …
raise concerns about robustness of current VQA models. In this work, we study the …
Graph neural networks in vision-language image understanding: A survey
Abstract 2D image understanding is a complex problem within computer vision, but it holds
the key to providing human-level scene comprehension. It goes further than identifying the …
the key to providing human-level scene comprehension. It goes further than identifying the …
Graph neural networks for visual question answering: a systematic review
Recently, visual question answering (VQA) has gained considerable interest within the
computer vision and natural language processing (NLP) research areas. The VQA task …
computer vision and natural language processing (NLP) research areas. The VQA task …
A survey of methods, datasets and evaluation metrics for visual question answering
Abstract Visual Question Answering (VQA) is a multi-disciplinary research problem that has
captured the attention of both computer vision as well as natural language processing …
captured the attention of both computer vision as well as natural language processing …
Surgical-vqa: Visual question answering in surgical scenes using transformer
Visual question answering (VQA) in surgery is largely unexplored. Expert surgeons are
scarce and are often overloaded with clinical and academic workloads. This overload often …
scarce and are often overloaded with clinical and academic workloads. This overload often …
An improved attention and hybrid optimization technique for visual question answering
Abstract In Visual Question Answering (VQA), an attention mechanism has a critical role in
specifying the different objects present in an image or tells the machine where to focus by …
specifying the different objects present in an image or tells the machine where to focus by …
[HTML][HTML] Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques
Soil is a heterogeneous medium, the characteristics that determine soil slope stability are
highly variable, making the analysis a difficult task. The present research approach is …
highly variable, making the analysis a difficult task. The present research approach is …
Surgical-vqla: Transformer with gated vision-language embedding for visual question localized-answering in robotic surgery
Despite the availability of computer-aided simulators and recorded videos of surgical
procedures, junior residents still heavily rely on experts to answer their queries. However …
procedures, junior residents still heavily rely on experts to answer their queries. However …
An efficient Intra-Inter pixel encryption scheme to secure healthcare images for an IoT environment
Digital images are being frequently used for diagnosis in clinics today. Diagnostic images
with identifying patient data are stored and transmitted across open networks. Security …
with identifying patient data are stored and transmitted across open networks. Security …
Image captioning improved visual question answering
Abstract Both Visual Question Answering (VQA) and image captioning are the problems
which involve Computer Vision (CV) and Natural Language Processing (NLP) domains. In …
which involve Computer Vision (CV) and Natural Language Processing (NLP) domains. In …