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Bridging the Gap Between Object Detection and User Intent via Query-Modulation. (arXiv:2106.10258v2 [cs.CV] UPDATED)
Aug. 4, 2022, 1:11 a.m. | Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew Howard
cs.LG updates on arXiv.org arxiv.org
When interacting with objects through cameras, or pictures, users often have
a specific intent. For example, they may want to perform a visual search. With
most object detection models relying on image pixels as their sole input,
undesired results are not uncommon. Most typically: lack of a high-confidence
detection on the object of interest, or detection with a wrong class label. The
issue is especially severe when operating capacity-constrained mobile object
detectors on-device. In this paper we investigate techniques to …
More from arxiv.org / cs.LG updates on arXiv.org
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