A review on content-based image retrieval system: Present trends and future challenges
The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …
based image retrieval (CBIR) system due to exponential rising volume of image databases …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
[HTML][HTML] A comprehensive survey on weed and crop classification using machine learning and deep learning
FD Adhinata, R Sumiharto - Artificial Intelligence in Agriculture, 2024 - Elsevier
Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …
revolutionized object detection and classification in images or videos. This technology plays …
Deep shape-aware person re-identification for overcoming moderate clothing changes
Although person re-identification (person re-id) has advanced substantially in recent years,
most methods are based on the assumption that the identities would not change clothes …
most methods are based on the assumption that the identities would not change clothes …
Cross-Modal Pixel-and-Stroke representation aligning networks for free-hand sketch recognition
Y Zhou, J Wang, J Yang, P Ni, G Lu, H Fang, Z Li… - Expert Systems with …, 2024 - Elsevier
We consider the cross-modal alignment problem for free-hand sketch. Given a sequence of
stroke and a rasterized image, the objective is to enhance the performance of sketch …
stroke and a rasterized image, the objective is to enhance the performance of sketch …
Sketch-based shape retrieval via best view selection and a cross-domain similarity measure
Y Xu, J Hu, K Wattanachote, K Zeng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Retrieving 3D shapes from 2D human sketches has received increasing attention in
computer vision and computer graphics. Most previous methods projected 3D shapes from …
computer vision and computer graphics. Most previous methods projected 3D shapes from …
Mixed attention dense network for sketch classification
M Zhu, C Chen, N Wang, J Tang, C Zhao - Applied Intelligence, 2021 - Springer
State-of-the-art convolutional neural networks (CNNs) on sketch classification cannot
balance the expression ability of final feature vectors and the problems of gradient vanishing …
balance the expression ability of final feature vectors and the problems of gradient vanishing …
Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions
Measuring design creativity is an indispensable component of innovation in engineering
design. Properly assessing the creativity of a design requires a rigorous evaluation of the …
design. Properly assessing the creativity of a design requires a rigorous evaluation of the …
Attention-enhanced multimodal learning for conceptual design evaluations
Conceptual design evaluation is an indispensable component of innovation in the early
stage of engineering design. Properly assessing the effectiveness of conceptual design …
stage of engineering design. Properly assessing the effectiveness of conceptual design …
Discriminative shared transform learning for sketch to image matching
Sketch to digital image matching refers to the problem of matching a sketch image (often
drawn by hand or created by a software) against a gallery of digital images (captured via an …
drawn by hand or created by a software) against a gallery of digital images (captured via an …