Domain Adaptation for Pedestrian Detection Based on Prediction Consistency
Table 1
The descriptions of the datasets for training.
Dataset
Training set
Positives
Negatives
MIT_Traffic_DA
Source domains: total of 4833 samples, INRIA, MIT CBCL, and CAVIAR WalkbyShop1cor (118 frames) Target domain: 790 samples, MIT_Traffic (top 210 frames)
6000 samples and INRIA
CAVIAR_DA
Source domains: total of 5054 samples, INRIA, MIT CBCL, and MIT_Traffic (top 210 frames) Target domain: 569 samples and CAVIAR WalkbyShop1cor (118 frames)
MIT_Only
790 samples and MIT_Traffic (top 210 frames)
CAVIAR_Only
569 samples and CAVIAR WalkbyShop1cor (118 frames)
All
Total of 5623 samples and INRIA + MIT CBCL + MIT_Traffic (top 210 frames) + CAVIAR WalkbyShop1cor (118 frames)