Unsupervised Domain Adaptation On Market To

mAP

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

比較表

モデル名	mAP
on-evolving-attention-towards-domain	71.4
transferable-joint-attribute-identity-deep	23.0
self-training-with-progressive-augmentation	54.3
structured-domain-adaptation-for-unsupervised	61.4
disjoint-label-space-transfer-learning-with	27.3
image-image-domain-adaptation-with-preserved	22.3
unsupervised-and-self-adaptative-techniques	72.6
a-novel-unsupervised-camera-aware-domain	31.0
invariance-matters-exemplar-memory-for-domain	40.4
style-normalization-and-restitution-for	58.1
person-re-identification-in-the-3d-space	13.7
190909675	45.1
learning-to-adapt-invariance-in-memory-for	54.4
unsupervised-person-re-identification-via-1	51.4
core-reid-comprehensive-optimization-and	74.8
one-shot-domain-adaptation-for-person-re	53.4
attentive-waveblock-complementarity-enhanced	71.0
self-paced-contrastive-learning-with-hybrid	68.8
asymmetric-co-teaching-for-unsupervised-cross	54.5
mutual-mean-teaching-pseudo-label-refinery-1	65.1
ad-cluster-augmented-discriminative	54.1
joint-discriminative-and-generative-learning	24.25
unsupervised-domain-adaptive-re	49.0
disassembling-the-dataset-a-camera-alignment	44.9
learning-feature-fusion-for-unsupervised	73.5