Pedestrian Attribute Recognition
Pedestrian attribution recognition is the task of recognizing pedestrian features - such as whether they are talking on a phone, whether they have a backpack, and so on.
( Image credit: HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis )
Papers
Showing 1–10 of 56 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | UniHCP (FT) | Accuracy | 88.78 | — | Unverified |
| 2 | C2T-Net | Accuracy | 88.2 | — | Unverified |
| 3 | Attribute-Specific Localization | Accuracy | 79.52 | — | Unverified |
| 4 | ALM[tang2019Improving] (ICCV19) | Accuracy | 79.52 | — | Unverified |
| 5 | strongbaseline | Accuracy | 79.14 | — | Unverified |
| 6 | HP-net | Accuracy | 76.13 | — | Unverified |