Deep learning in remote sensing: A comprehensive review and list of resources

XX Zhu, D Tuia, L Mou, GS **: A survey on visual loop closure detection
KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Composing text and image for image retrieval-an empirical odyssey

N Vo, L Jiang, C Sun, K Murphy, LJ Li… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we study the task of image retrieval, where the input query is specified in the
form of an image plus some text that describes desired modifications to the input image. For …

Siamese instance search for tracking

R Tao, E Gavves… - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
In this paper we present a tracker, which is radically different from state-of-the-art trackers:
we apply no model updating, no occlusion detection, no combination of trackers, no …

A survey on deep visual place recognition

C Masone, B Caputo - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

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 …