[Retracted] Identifying Animals in Camera Trap Images via Neural Architecture Search

Figure 2

Adaptive meta-architecture of NASRT. The meta-architecture determines how a candidate network is built during the search and how the data flow through the network. The data flow from the input to the output via multiple paths in a candidate network, and paths are dynamically determined by the sampler during the search. The dynamic paths are represented by both a cloud shape labelled “cell connection” and lines emitting from it. Candidate networks building is affected by several user-defined constants, e.g., normal cell number N and reduction cell number R, respectively, denoted by “N” and “…” in the figure.