We propose a fast method to human action recognition for visual question answering, based on a novel feature extractor developed by us, 2D pose estimation, and ...
Thus, we propose a fast method to human action recognition for visual question answering, based on a novel feature extractor developed by us, 2D pose estimation ...
In their study, they introduced a novel feature extractor in order to estimate 2D poses of humans, which then leads to an estimation of action by humans. ... ..
May 1, 2024 · The objective of VQA is to answer questions about a given image, requiring models capable of understanding both visual and textual modalities.
A novel feature extractor for human action recognition in visual question answering, PRL(147), 2021, pp. 41-47. Elsevier DOI 2106 · BibRef · Guo, W.[Wenya] ...
This research focuses on extracting distinguishable patterns and deep features from spectral images by time-frequency-domain analysis of 1D multi-sensor data.
Missing: answering. | Show results with:answering.
Abstract: In the study of artificial intelligence, Visual Question Answering is becoming a more important subject since.
Nov 8, 2022 · In this work, we propose a multi-modal framework that learns to effectively combine features from. RGB Video and IMU sensors, and show its�...
Nov 16, 2022 · Visual Question Answering (VQA) allows people to ask natural language open-ended, multiple-choice, and common sense questions about the visual world.
A system capable of answering questions related to an image. It takes an image and a text-based question as inputs and generates the answer as output.