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Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
[article]
2016
arXiv
pre-print
In this paper, a self-learning approach is proposed towards solving scene-specific pedestrian detection problem without any human' annotation involved. The self-learning approach is deployed as progressive steps of object discovery, object enforcement, and label propagation. In the learning procedure, object locations in each frame are treated as latent variables that are solved with a progressive latent model (PLM). Compared with conventional latent models, the proposed PLM incorporates a
arXiv:1611.07544v1
fatcat:d6fvdn2hjzgurmd2nquvcli7mu