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 21–30 of 56 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Attivision | F1 score | 93.1 | — | Unverified |
| 2 | PATH (Partial FT) | Accuracy | 90.8 | — | Unverified |
| 3 | Attrivision | Accuracy | 89.8 | — | Unverified |
| 4 | Hulk(Finetune, ViT-L) | Accuracy | 88.97 | — | Unverified |
| 5 | Hulk(Finetune, ViT-B) | Accuracy | 87.85 | — | Unverified |
| 6 | C2T-Net | Accuracy | 87.2 | — | Unverified |
| 7 | SOLIDER | Accuracy | 86.38 | — | Unverified |
| 8 | UniHCP (finetune) | Accuracy | 86.18 | — | Unverified |
| 9 | APTM | Accuracy | 80.17 | — | Unverified |
| 10 | Label2Label | Accuracy | 79.23 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | UniHCP (FT) | Accuracy | 88.78 | — | Unverified |
| 2 | C2T-Net | Accuracy | 88.2 | — | Unverified |
| 3 | ALM[tang2019Improving] (ICCV19) | Accuracy | 79.52 | — | Unverified |
| 4 | Attribute-Specific Localization | Accuracy | 79.52 | — | Unverified |
| 5 | strongbaseline | Accuracy | 79.14 | — | Unverified |
| 6 | HP-net | Accuracy | 76.13 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Hulk(Finetune, ViT-L) | Accuracy | 85.86 | — | Unverified |
| 2 | Hulk(Finetune, ViT-B) | Accuracy | 85.26 | — | Unverified |
| 3 | Attrivision | Accuracy | 84.2 | — | Unverified |
| 4 | UniHCP (finetune) | Accuracy | 82.34 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Attribute-Specific Localization | Accuracy | 68.17 | — | Unverified |
| 2 | HP-net | Accuracy | 65.39 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MBNET | Accuracy | 91.13 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Attrivision | Accuracy | 83.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Attrivision | Accuracy | 89.4 | — | Unverified |