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At first glance at this creature, you'd be forgiven for mistaking it for a sparkly pair of fake eyelashes. But the creature is very much real and was discovered at the junction of three tectonic plates in the Pacific Ocean. Researchers from the Schmidt Ocean Institute spotted the animal while using an underwater robot to scour the seabed. The animal is a polychaete - a class of marine worms, more widely known as bristle worms. 'To describe this polychaete, one simply must use jazz hands -- it is the only way to capture this deep-sea worm's dazzle!' the experts said in an Instagram post about the polychaete.

Iris-based identification systems are among the most popular approaches for person identification. Such systems require good-quality segmentation modules that ideally identify the regions for different eye components. This paper introduces the new two-headed architecture, where the eye components and eyelashes are segmented using two separate decoding modules. Moreover, we investigate various training scenarios by adopting different training losses. Thanks to the two-headed approach, we were also able to examine the quality of the model with the convex prior, which enforces the convexity of the segmented shapes. We conducted an extensive evaluation of various learning scenarios on real-life conditions high-resolution near-infrared iris images.