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SOTA
Vehicle Re Identification
Vehicle Re Identification On Vehicleid Large
Vehicle Re Identification On Vehicleid Large
評価指標
Rank-1
Rank-5
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
Columns
モデル名
Rank-1
Rank-5
Paper Title
Repository
PNP Loss
93.2
96.6
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Recall@k Surrogate loss (ViT-B/16)
94.7
97.1
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
ANet
80.5
94.6
AttributeNet: Attribute Enhanced Vehicle Re-Identification
-
Smooth-AP
91.9
96.2
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
QD-DLF
-
-
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
-
CAL
75.1
-
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
MSINet (2.3M w/o RK)
77.9
91.7
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
RPTM
92.9
96.3
Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems
Recall@k Surrogate loss (ResNet-50)
93.8
96.6
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
vehiclenet
79.46
-
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification
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