Mirror detection is challenging because the visual appearances of mirrors change
depending on those of their surroundings. As existing mirror detection methods are mainly …

We consider the visual disambiguation task of determining whether a pair of visually similar
images depict the same or distinct 3D surfaces (eg, the same or opposite sides of a …

While CNNs achieved remarkable progress in shadow detection, they tend to make
mistakes in dark non-shadow regions and relatively bright shadow regions. They are also …

Deep learning for electroencephalogram-based classification is confronted with data
scarcity, due to the time-consuming and expensive data collection procedure. Data …

The maturity level of tomato is a key factor of tomato picking, which directly determines the
transportation distance, storage time, and market freshness of postharvest tomato. In view of …

Existing mirror detection methods require supervised ImageNet pre-training to obtain good
general-purpose image features. However, supervised ImageNet pre-training focuses on …

Molecular chirality, a form of stereochemistry most often describing relative spatial
arrangements of bonded neighbors around tetrahedral carbon centers, influences the set of …

This paper investigates visual analogical reasoning in large multimodal models (LMMs)
compared to human adults and children. A" visual analogy" is an abstract rule inferred from …

As a fundamental vision task, facial expression recognition has made substantial progress
recently. However, the recognition performance often degrades significantly in real-world …

Smoke detection is essential for disaster management and timely response to fires.
However, popular deep learning-based algorithms ignore key traditional features such as …