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Found 4 papers, 2 papers with code
Delving into Dark Regions for Robust Shadow Detection
Our key insight to this problem is that existing methods typically learn discriminative shadow features from the whole image globally, covering the full range of intensity values, and may not learn the subtle differences between shadow and non-shadow pixels in dark regions.
Learning Semantic Associations for Mirror Detection
Inspired by this observation, we propose a model to exploit the semantic associations between the mirror and its surrounding objects for a reliable mirror localization.
Fake News Detection via NLP is Vulnerable to Adversarial Attacks
In this paper, we argue that these models have the potential to misclassify fact-tampering fake news as well as under-written real news.
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