Person Re Identification On Market 1501

المقاييس

Rank-1

mAP

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	Rank-1	mAP
counterfactual-attention-learning-for-fine	95.5	89.5
auto-reid-searching-for-a-part-aware-convnet	95.4	94.2
omni-scale-feature-learning-for-person-re	94.8	84.9
top-db-net-top-dropblock-for-activation	95.5	94.1
body-part-based-representation-learning-for	95.7	89.4
deep-attention-aware-feature-learning-for	95.1	87.9
gated-siamese-convolutional-neural-network	65.88	39.55
circle-loss-a-unified-perspective-of-pair	96.1	87.4
attribute-aware-attention-model-for-fine	86.54	68.97
beyond-human-parts-dual-part-aligned	95.2	85.6
aggregating-deep-pyramidal-representations	93.6	81.7
human-semantic-parsing-for-person-re	93.6	83.3
disassembling-the-dataset-a-camera-alignment	94.3	83.6
enhancing-person-re-identification-via	96.1	92.0
camera-style-adaptation-for-person-re	85.66	65.87
in-defense-of-the-triplet-loss-for-person-re	81.38	60.71
dual-cluster-contrastive-learning-for-person	95.4	89.2
msinet-twins-contrastive-search-of-multi	95.3	89.6
dip-learning-discriminative-implicit-parts	95.8	90.8
keypoint-promptable-re-identification	95.9	89.6
horizontal-pyramid-matching-for-person-re	94.2	82.7
incremental-generative-occlusion-adversarial	-	84.1
unihcp-a-unified-model-for-human-centric	-	90.3
person-re-identification-past-present-and	72.54	46.00
image-based-and-partially-categorical	94.77	92.64
cluster-level-feature-alignment-for-person-re	95.7	89.5
deep-representation-learning-with-part-loss	88.2	69.3
learning-discriminative-features-with	95.7	86.9
prototypical-contrastive-learning-based-clip	96.1	91.0
rethinking-person-re-identification-from-a	96.4	95.3
a-pose-sensitive-embedding-for-person-re	90.3	84
deep-attention-aware-feature-learning-for	96.4	95
enhancing-person-re-identification-via	96.2	91.0
understanding-image-retrieval-re-ranking-a	96.11	94.65
unsupervised-tracklet-person-re	69.2	46.2
exciting-inhibition-network-for-person	-	88.75
attention-network-robustification-for-person	95.8	88.7
a-coarse-to-fine-pyramidal-model-for-person	95.7	88.2
a-strong-baseline-and-batch-normalization	-	88.2
aggregating-deep-pyramidal-representations	94.6	91.4
ca-jaccard-camera-aware-jaccard-distance-for	96.2	94.5
viewpoint-aware-loss-with-angular	96.79	95.43
circle-loss-a-unified-perspective-of-pair	94.2	84.9
from-poses-to-identity-training-free-person	95.52	93.01
top-db-net-top-dropblock-for-activation	94.9	85.8
3d-magic-mirror-clothing-reconstruction-from	95.43	88.54
learning-diverse-features-with-part-level	95.6	88.9
resource-aware-person-re-identification	90.9	86.7
an-effective-data-augmentation-for-person-re	96.9	95.6
graph-based-person-signature-for-person-re	95.2	87.8
fpb-feature-pyramid-branch-for-person-re	96.1	90.6
alignedreid-surpassing-human-level	94.4	90.7
re-ranking-person-re-identification-with-k	77.11	63.63
devil-s-in-the-detail-graph-based-key-point	95.96	90.30
person-re-identification-in-the-3d-space	87.74	69.52
unsupervised-pre-training-for-person-re	97	92
disassembling-the-dataset-a-camera-alignment	91.3	77.3
transreid-transformer-based-object-re	95.2	89.5
in-defense-of-the-triplet-loss-for-person-re	86.67	81.07
learning-a-discriminative-null-space-for	61.02	35.68
plip-language-image-pre-training-for-person	-	91.2
person-re-identification-by-deep-joint	85.1	65.5
person-re-identification-with-deep-similarity	-	82.8
flipreid-closing-the-gap-between-training-and	95.8	94.7
scalable-person-re-identification-on	82.21	68.80
glad-global-local-alignment-descriptor-for	89.9	73.9
scalable-metric-learning-via-weighted	45.16	-
learning-to-disentangle-scenes-for-person-re	96.17	94.89
beyond-part-models-person-retrieval-with	93.8	81.6
lightweight-multi-branch-network-for-person	-	-
person-re-identification-by-local-maximal	43.79	22.22
aggregating-deep-pyramidal-representations	95.2	86.7
unlabeled-samples-generated-by-gan-improve	83.97	66.07
multi-task-learning-with-coarse-priors-for	96.4	90.1
aggregating-deep-pyramidal-representations	96.1	94.0
improved-person-re-identification-based-on	92.5	80.1
unsupervised-pre-training-for-person-re	-	96.21
pose-driven-deep-convolutional-model-for	84.14	63.41
large-scale-pre-training-for-person-re	96.6	91.9
pedestrian-alignment-network-for-large-scale	88.57	81.53
deeply-learned-part-aligned-representations	81.0	63.4
identity-guided-human-semantic-parsing-for	95.3	88.6
unsupervised-person-re-identification	44.7	20.1
النموذج 84	95.64	88.75
deep-constrained-dominant-sets-for-person-re	95.4	93.3
person-re-identification-via-attention	96.2	90.5
learning-disentangled-representation-for	95.2	87.1
adaptivereid-adaptive-l2-regularization-in	95.6	88.9
flipreid-closing-the-gap-between-training-and	95.5	89.6
body-part-based-representation-learning-for	96.4	95.3
cross-view-asymmetric-metric-learning-for	54.5	26.3
features-for-multi-target-multi-camera	89.4	75.6
joint-discriminative-and-generative-learning	94.8	86.0
fd-gan-pose-guided-feature-distilling-gan-for	90.5	77.7
keypoint-promptable-re-identification	96.62	93.22
beyond-part-models-person-retrieval-with	92.3	77.4
bags-of-tricks-and-a-strong-baseline-for-deep	95.43	94.24
attention-network-robustification-for-person	96.2	89.7
joint-discriminative-and-generative-learning	95.4	92.49
lightweight-multi-branch-network-for-person	96.8	95.3
a-discriminatively-learned-cnn-embedding-for	79.51	59.87
lightweight-multi-branch-network-for-person	96.3	91.5
unsupervised-person-re-identification-by-soft	67.7	40
person-re-identification-with-bias-controlled	93.1	89.3
beyond-appearance-a-semantic-controllable	96.7	95.6
deep-miner-a-deep-and-multi-branch-network	95.7	90.40
git-graph-interactive-transformer-for-vehicle	95.7	88.9
in-defense-of-the-triplet-loss-for-person-re	84.59	75.62
abd-net-attentive-but-diverse-person-re	95.6	88.28
improved-person-re-identification-based-on	93.7	90.8
beyond-appearance-a-semantic-controllable	96.9	93.9
camera-aware-proxies-for-unsupervised-person	93.3	85.1
adaptivereid-adaptive-l2-regularization-in	96.0	94.4
rethinking-person-re-identification-from-a	96	90.2
in-defense-of-the-triplet-loss-for-person-re	84.92	69.14
remix-training-generalized-person-re	96.2	89.8
learning-instance-level-spatial-temporal	-	90.8
self-supervised-pre-training-for-transformer	96.7	93.2
towards-better-validity-dispersion-based	-	41.3
parameter-free-spatial-attention-network-for	94.7	91.7
incremental-learning-in-person-re	89.3	71.8
camera-style-adaptation-for-person-re	89.49	71.55
scalable-person-re-identification-a-benchmark	34.40	14.09
svdnet-for-pedestrian-retrieval	82.3	62.1
attrimeter-an-attribute-guided-metric	96.1	88.8
attention-network-robustification-for-person	96.2	-
prototypical-contrastive-learning-based-clip	95.9	91.4
from-poses-to-identity-training-free-person	97.3	94.9
clip-reid-exploiting-vision-language-model	95.4	90.5
enhancing-person-re-identification-via	97	94.9
3d-magic-mirror-clothing-reconstruction-from	95.07	87.80
semi-supervised-domain-generalizable-person	97.36	94.15
spatial-temporal-person-re-identification	98.0	95.5
template-aware-transformer-for-person	95.8	89.7
learning-deep-context-aware-features-over	80.31	57.53