Person Re Identification On Cuhk03 Labeled

MAP

Rank-1

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	MAP	Rank-1
re-ranking-person-re-identification-with-k	20.0	21.9
learning-discriminative-features-with	67.4	68.0
Modell 3	89.29	87.86
lightweight-multi-branch-network-for-person	85.1	87.2
pedestrian-alignment-network-for-large-scale	45.8	43.9
auto-reid-searching-for-a-part-aware-convnet	73.0	77.9
re-ranking-person-re-identification-with-k	14.9	15.6
re-ranking-person-re-identification-with-k	29.6	32.0
multi-task-learning-with-coarse-priors-for	81.1	85
resource-aware-person-re-identification	61.6	66.1
harmonious-attention-network-for-person-re	41.0	44.4
deep-miner-a-deep-and-multi-branch-network	84.7	86.6
top-db-net-top-dropblock-for-activation	75.4	79.4
re-ranking-person-re-identification-with-k	21.0	22.2
a-coarse-to-fine-pyramidal-model-for-person	76.9	78.9
dip-learning-discriminative-implicit-parts	85.7	87
learning-diverse-features-with-part-level	80.5	84.6
fpb-feature-pyramid-branch-for-person-re	83.8	85.9
top-db-net-top-dropblock-for-activation	88.5	86.7
pedestrian-alignment-network-for-large-scale	35.0	36.9
batch-feature-erasing-for-person-re	76.7	79.4