Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/DeepBall

DeepBall

Reported on 15 benchmarks across 1 task · 1 paper · 13 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision15 results

Object TrackingonTennis
Accuracy (%)· 2019-02-19
32.3
best: 91.8 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonTennis
Average Precision (%)· 2019-02-19
47
best: 94.2 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonTennis
F1 (%)· 2019-02-19
47.4
best: 95.6 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonSoccer
Accuracy (% )· 2019-02-19
92.7
best: 97.9 (WASB (Step=3))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonSoccer
Average Precision (%)· 2019-02-19
26.3
best: 86.2 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonSoccer
F1 (%)· 2019-02-19
44.5
best: 88.3 (WASB (Step=3))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonBadminton
Accuracy (%)· 2019-02-19
38.6
best: 89 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonBadminton
Average Precision (%)· 2019-02-19
60
best: 91.6 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonBadminton
F1 (%)· 2019-02-19
52.4
best: 93.1 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonVolleyball
Accuracy (%)· 2019-02-19
50.7
best: 80 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonVolleyball
Average Precision (%)· 2019-02-19
49.2
best: 83.2 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonVolleyball
F1 (%)· 2019-02-19
64.4
best: 88 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonBasketball
Accuracy (%)· 2019-02-19
12.9
best: 73.4 (WASB (Step=1))
SOTA
DeepBall: Deep Neural-Network Ball Detector arXiv:1902.07304
Object TrackingonBasketball
Average Precision (%)
0
best: 77.1 (WASB (Step=1))
Object TrackingonBasketball
F1 (%)
0
best: 82.6 (WASB (Step=1))