Weakly Supervised Object Detection On Pascal 1
평가 지표
MAP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
모델 이름 | MAP |
---|---|
min-entropy-latent-model-for-weakly | 47.3 |
self-paced-deep-learning-for-weakly | 38.11 |
weaksam-segment-anything-meets-weakly | 58.9 |
dissimilarity-coefficient-based-weakly | 53.6 |
training-object-detectors-from-few-weakly-1 | 38.0 |
utilizing-the-instability-in-weakly | 52.6 |
on-learning-to-localize-objects-with-minimal | 22.7 |
wsod2-learning-bottom-up-and-top-down | 53.6 |
towards-automatic-visual-inspection-a-weakly | 46.2 |
wsod-with-psnet-and-box-regression | 48.8 |
multiple-instance-detection-network-with | 47.0 |
cyclic-guidance-for-weakly-supervised-joint | 52.5 |
weaksam-segment-anything-meets-weakly | 71.8 |
weaksam-segment-anything-meets-weakly | 67.4 |
fewer-is-more-image-segmentation-based-weakly | 43.9 |
object-instance-mining-for-weakly-supervised | 52.6 |
pcl-proposal-cluster-learning-for-weakly | 48.8 |
towards-precise-end-to-end-weakly-supervised-1 | 54.5 |
few-example-object-detection-with-model | 41.7 |
object-discovery-via-contrastive-learning-for | 56.1 |
adaptively-denoising-proposal-collection | 40.9 |
weaksam-segment-anything-meets-weakly | 73.4 |
contextlocnet-context-aware-deep-network | 36.3 |
w2f-a-weakly-supervised-to-fully-supervised | 52.4 |
weaksam-segment-anything-meets-weakly | 65.7 |
zigzag-learning-for-weakly-supervised-object | 47.6 |
object-aware-instance-labeling-for-weakly | 52.1 |
instance-aware-context-focused-and-memory | 58.1 |
weakly-supervised-cascaded-convolutional | 42.8 |
c-midn-coupled-multiple-instance-detection | 53.6 |
comprehensive-attention-self-distillation-for | 56.8 |
exploiting-web-images-for-weakly-supervised | 46.0 |
instance-aware-context-focused-and-memory | 54.9 |
bridging-saliency-detection-to-weakly | 31.3 |
you-reap-what-you-sow-using-videos-to | 46.9 |
multi-evidence-filtering-and-fusion-for-multi | 51.2 |
variational-bayesian-multiple-instance | 46.1 |
deep-self-taught-learning-for-weakly | 43.7 |
weaksam-segment-anything-meets-weakly | 66.1 |
c-mil-continuation-multiple-instance-learning | 53.1 |
weakly-supervised-deep-detection-networks | 39.3 |