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Models/GLIP (Tiny A)

GLIP (Tiny A)

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Methodology4 results

3DonODinW
Average Score· uses extra data· 2022-04-19
11.4
best: 32.2 (CP-DETR-L Swin-L)
SOTA
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models arXiv:2204.08790
2D ClassificationonODinW
Average Score· uses extra data· 2022-04-19
11.4
best: 32.2 (CP-DETR-L Swin-L)
SOTA
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models arXiv:2204.08790
2D Object DetectiononODinW
Average Score· uses extra data· 2022-04-19
11.4
best: 32.2 (CP-DETR-L Swin-L)
SOTA
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models arXiv:2204.08790
16konODinW
Average Score· uses extra data· 2022-04-19
11.4
best: 32.2 (CP-DETR-L Swin-L)
SOTA
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models arXiv:2204.08790

Computer Vision2 results

Object DetectiononODinW
Average Score· uses extra data· 2022-04-19
11.4
best: 32.2 (CP-DETR-L Swin-L)
SOTA
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models arXiv:2204.08790
Zero-Shot Image ClassificationonODinW
Average Score· 2022-04-19
11.4
SOTA
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models arXiv:2204.08790