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4 papers · 2 filters
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Siyu Huang, Tianyang Wang, Haoyi Xiong +3
While deep learning succeeds in a wide range of tasks, it highly depends on the massive collection of annotated data which is expensive and time-consuming. To lower the cost of dat…
Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri
Graham West, Matthew I. Swindall, Ben Keener +4
Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. Two issues which complicate the problem on such datasets ar…
A Multi-level Alignment Training Scheme for Video-and-Language Grounding
Yubo Zhang, Feiyang Niu, Qing Ping +1
To solve video-and-language grounding tasks, the key is for the network to understand the connection between the two modalities. For a pair of video and language description, their…
Main Product Detection with Graph Networks for Fashion
Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa +2
Computer vision has established a foothold in the online fashion retail industry. Main product detection is a crucial step of vision-based fashion product feed parsing pipelines, f…