7 citations · 9 across the 5 of their papers we have counts for
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cs.CV2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
Erik Stammes, Tom F. H. Runia, Michael Hofmann +1
Semantic segmentation is a task that traditionally requires a large dataset of pixel-level ground truth labels, which is time-consuming and expensive to obtain. Recent advancements…
cs.HC2020★ 7 cited
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection
Liang Gou, Lincan Zou, Nanxiang Li +4
Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Network…