LocOv (RN50-C4)

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Methodology4 results

3DonMSCOCO
AP 0.5· 2022-05-12
28.6
best: 50.3 (Cooperative Foundational Models)
Localized Vision-Language Matching for Open-vocabulary Object Detection arXiv:2205.06160
2D ClassificationonMSCOCO
AP 0.5· 2022-05-12
28.6
best: 50.3 (Cooperative Foundational Models)
Localized Vision-Language Matching for Open-vocabulary Object Detection arXiv:2205.06160
2D Object DetectiononMSCOCO
AP 0.5· 2022-05-12
28.6
best: 50.3 (Cooperative Foundational Models)
Localized Vision-Language Matching for Open-vocabulary Object Detection arXiv:2205.06160
16konMSCOCO
AP 0.5· 2022-05-12
28.6
best: 50.3 (Cooperative Foundational Models)
Localized Vision-Language Matching for Open-vocabulary Object Detection arXiv:2205.06160

Computer Vision2 results

Object DetectiononMSCOCO
AP 0.5· 2022-05-12
28.6
best: 50.3 (Cooperative Foundational Models)
Localized Vision-Language Matching for Open-vocabulary Object Detection arXiv:2205.06160
Open Vocabulary Object DetectiononMSCOCO
AP 0.5· 2022-05-12
28.6
best: 50.3 (Cooperative Foundational Models)
Localized Vision-Language Matching for Open-vocabulary Object Detection arXiv:2205.06160