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Found 5 papers, 2 papers with code
Loci-Segmented: Improving Scene Segmentation Learning
Current slot-oriented approaches for compositional scene segmentation from images and videos rely on provided background information or slot assignments.
Learning Object Permanence from Videos via Latent Imaginations
While human infants exhibit knowledge about object permanence from two months of age onwards, deep-learning approaches still largely fail to recognize objects' continued existence.
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Moreover, it can anticipate object motion and interactions, which are crucial abilities for conceptual planning and reasoning.
Ranked #1 on
Video Object Tracking
on CATER
Learning Precise Spike Timings with Eligibility Traces
As a consequence, this limits in principle the inherent advantage of SNNs, that is, the potential to develop codes that rely on precise relative spike timings.
Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets
Automatic analyses and comparisons of different stages of embryonic development largely depend on a highly accurate spatiotemporal alignment of the investigated data sets.
