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SOTA
弱监督物体检测
Weakly Supervised Object Detection On Pascal
Weakly Supervised Object Detection On Pascal
评估指标
MAP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
MAP
Paper Title
Repository
WeakSAM-MIST-DINO (with SAM)
70.2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
WeakSAM-MIST-Faster RCNN (with SAM)
69.2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
WeakSAM-MIST (with SAM)
66.9
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
WeakSAM-OICR-DINO (with SAM)
63.7
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
WeakSAM-OICR-Faster RCNN (with SAM)
62.9
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
WeakSAM-OICR (with SAM)
58.4
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
OD-WSCL
54.6
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
CASD(VGG16)
53.6
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
wetectron(single-model)
52.1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
C-MIDN+FRCNN
50.3
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection
-
Pred Net (Ens)
49.5
Dissimilarity Coefficient based Weakly Supervised Object Detection
-
Our-Ens
49.5
Towards Precise End-to-end Weakly Supervised Object Detection Network
Ours + FRCNN
48.1
Object-Aware Instance Labeling for Weakly Supervised Object Detection
-
Ours+FRCNN
48.0
Utilizing the Instability in Weakly Supervised Object Detection
-
WSD+PGE+PGA+FSD2
47.8
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection
-
WSOD2
47.2
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection
-
C-MIL
46.7
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
OIM+IR+FRCNN
46.4
Object Instance Mining for Weakly Supervised Object Detection
WS-JDS FRCNN
46.1
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
-
PCL-OB-G-Ens + FRCNN
44.2
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
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