VL-PLM (RN50)

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· 2022-07-18
34.4
best: 50.3 (Cooperative Foundational Models)
Exploiting Unlabeled Data with Vision and Language Models for Object Detection arXiv:2207.08954
2D ClassificationonMSCOCO
AP 0.5· 2022-07-18
34.4
best: 50.3 (Cooperative Foundational Models)
Exploiting Unlabeled Data with Vision and Language Models for Object Detection arXiv:2207.08954
2D Object DetectiononMSCOCO
AP 0.5· 2022-07-18
34.4
best: 50.3 (Cooperative Foundational Models)
Exploiting Unlabeled Data with Vision and Language Models for Object Detection arXiv:2207.08954
16konMSCOCO
AP 0.5· 2022-07-18
34.4
best: 50.3 (Cooperative Foundational Models)
Exploiting Unlabeled Data with Vision and Language Models for Object Detection arXiv:2207.08954

Computer Vision2 results

Object DetectiononMSCOCO
AP 0.5· 2022-07-18
34.4
best: 50.3 (Cooperative Foundational Models)
Exploiting Unlabeled Data with Vision and Language Models for Object Detection arXiv:2207.08954
Open Vocabulary Object DetectiononMSCOCO
AP 0.5· 2022-07-18
34.4
best: 50.3 (Cooperative Foundational Models)
Exploiting Unlabeled Data with Vision and Language Models for Object Detection arXiv:2207.08954