Research Article

SENetCount: An Optimized Encoder-Decoder Architecture with Squeeze-and-Excitation for Crowd Counting

Table 1

Summary of some state-of-the-art methods.

MethodsYear and venueArchitectureInference mannerLearning paradigm

MCNN [9]2016 CVPRMulticolumnWhole imageSingle-task
ic-CNN [10]2018 ECCVMulticolumnWhole imageMultitask
SAAN [11]2019 WACVMulticolumnWhole imageSingle-task
SPN [12]2019 WACVSingle-columnWhole imageSingle-task
LA-Batch [13]2022 TPAMISingle-columnPatchMulti-task
MANet [14]2021 CIANSingle-columnWhole imageSingle-task
LSC-CNN [15]2021 TPAMIMulticolumnWhole imageMultitask (include detection)
AutoScale [16]2022 IJCVMulticolumnPatchMultitask (include detection)