Few Shot Object Detection On Ms Coco 30 Shot
Metriken
AP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | AP |
---|---|
decoupling-classifier-for-boosting-few-shot | 22.7 |
meta-r-cnn-towards-general-solver-for | 12.4 |
detect-every-thing-with-few-examples | 34 |
meta-detr-few-shot-object-detection-via | 22.9 |
few-shot-object-detection-and-viewpoint | 14.7 |
meta-learning-to-detect-rare-objects | 11.3 |
meta-detr-few-shot-object-detection-via | 21.3 |
few-shot-object-detection-via-feature | 9.1 |
semantic-relation-reasoning-for-shot-stable | 14.7 |
integral-migrating-pre-trained-transformer | 30.2 |
detreg-unsupervised-pretraining-with-region | 30 |
defrcn-decoupled-faster-r-cnn-for-few-shot | 22.6 |
re-scoring-using-image-language-similarity | 24.4 |
multi-scale-positive-sample-refinement-for | 14.1 |
lstd-a-low-shot-transfer-detector-for-object | 6.7 |
frustratingly-simple-few-shot-object | 13.7 |
hierarchical-attention-network-for-few-shot | 25.0 |
balanced-id-ood-tradeoff-transfer-makes-query | 33.8 |
re-scoring-using-image-language-similarity | 31.9 |
cross-domain-few-shot-object-detection-via | 35.9 |
frustratingly-simple-few-shot-object | 13.4 |
fsce-few-shot-object-detection-via | 15.3 |
few-shot-object-detection-by-attending-to-per | 17.1 |
integral-migrating-pre-trained-transformer | 21.0 |