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Cross-View Cross-Scene Multi-View Crowd Counting Results
On synthetic dataset:
Compared with other methods:
MVMS is the single-scene model
CamSel is the camera selection module
NoiseV is the noisy view regularization
Testing on different numbers of camera views for input:
the MAE decreases as more views are added.
On real datasets:
RealS – training and testing on the same real scene
RealC – cross-scene training on 2 real scenes, and testing on the remaining real scene.
Synth – cross-scene training on synthetic dataset.
+UDA – using unsupervised domain adaptation on the real test scene.
Copyright © 2021 Antoni Chan,