Multimedia search reranking: A literature survey

T Mei, Y Rui, S Li, Q Tian - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
The explosive growth and widespread accessibility of community-contributed media content
on the Internet have led to a surge of research activity in multimedia search. Approaches that …

Image retrieval from remote sensing big data: A survey

Y Li, J Ma, Y Zhang - Information Fusion, 2021 - Elsevier
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

The sketchy database: learning to retrieve badly drawn bunnies

P Sangkloy, N Burnell, C Ham, J Hays - ACM Transactions on Graphics …, 2016 - dl.acm.org
We present the Sketchy database, the first large-scale collection of sketch-photo pairs. We
ask crowd workers to sketch particular photographic objects sampled from 125 categories …

Sketchygan: Towards diverse and realistic sketch to image synthesis

W Chen, J Hays - Proceedings of the IEEE conference on …, 2018 - openaccess.thecvf.com
Synthesizing realistic images from human drawn sketches is a challenging problem in
computer graphics and vision. Existing approaches either need exact edge maps, or rely on …

Sketch me that shoe

Q Yu, F Liu, YZ Song, T **ang… - Proceedings of the …, 2016 - openaccess.thecvf.com
We investigate the problem of fine-grained sketch-based image retrieval (SBIR), where free-
hand human sketches are used as queries to perform instance-level retrieval of images. This …

Deep spatial-semantic attention for fine-grained sketch-based image retrieval

J Song, Q Yu, YZ Song, T **ang… - Proceedings of the …, 2017 - openaccess.thecvf.com
Human sketches are unique in being able to capture both the spatial topology of a visual
object, as well as its subtle appearance details. Fine-grained sketch-based image retrieval …

Sketch-a-net: A deep neural network that beats humans

Q Yu, Y Yang, F Liu, YZ Song, T **ang… - International journal of …, 2017 - Springer
We propose a deep learning approach to free-hand sketch recognition that achieves state-of-
the-art performance, significantly surpassing that of humans. Our superior performance is a …