One of the major challenges in video object detection is drastic scale changes of objects due to camera motion.In this paper, we propose a two-path Convolutional Long Short-Term Memory (convLSTM) pyramid network designed to extract and convey multi-scale temporal contextual information in order to handle object scale changes efficiently.The propose
Currently, an increasing number of convolutional neural networks (CNNs) focus specifically on capturing contextual features (con.feat) to improve performance in semantic segmentation tasks.However, high-level con.feat are biased towards encoding features of large objects, disregard spatial details, and have a limited capacity to discriminate betwee
A mudflat is a type of intertidal zone that is alternately affected by terrestrial and marine environments.We searched for examples of research related to the discovery of secondary metabolites in actinomycetes originating from mudflats.In total, we found 16 studies describing 42 natural products.The recognized bioactivities of the secondary Flatwa