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Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects
[article]
2018
arXiv
pre-print
While generic object detection has achieved large improvements with rich feature hierarchies from deep nets, detecting small objects with poor visual cues remains challenging. Motion cues from multiple frames may be more informative for detecting such hard-to-distinguish objects in each frame. However, how to encode discriminative motion patterns, such as deformations and pose changes that characterize objects, has remained an open question. To learn them and thereby realize small object
arXiv:1709.04666v3
fatcat:jtlp7tbq3rcvvfrrgit6sq6ms4