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Schwach überwachte Objekterkennung
Weakly Supervised Object Detection On Pascal
Weakly Supervised Object Detection On Pascal
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MAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
MAP
Paper Title
Repository
MSLPD
35.4
Few-Example Object Detection with Model Communication
-
WCCN
37.9
Weakly Supervised Cascaded Convolutional Networks
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wetectron(single-model)
52.1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
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Pred Net (Ens)
49.5
Dissimilarity Coefficient based Weakly Supervised Object Detection
-
C-MIDN+FRCNN
50.3
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection
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WeakSAM-OICR-DINO (with SAM)
63.7
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
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WeakSAM-MIST-DINO (with SAM)
70.2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
NSOD
36.6
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
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OICR + W-RPN
43.2
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection
-
OICR-Ens + FRCNN
42.5
Multiple Instance Detection Network with Online Instance Classifier Refinement
-
ZLDN-L
42.9
Zigzag Learning for Weakly Supervised Object Detection
-
CASD(VGG16)
53.6
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
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WeakSAM-MIST-Faster RCNN (with SAM)
69.2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
Deep Self-Taught Learning
38.3
Deep Self-Taught Learning for Weakly Supervised Object Localization
-
MELM
42.4
Min-Entropy Latent Model for Weakly Supervised Object Detection
-
OIM+IR+FRCNN
46.4
Object Instance Mining for Weakly Supervised Object Detection
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WSDDN + context
35.3
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
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WeakSAM-MIST (with SAM)
66.9
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
LM-VGPMIL
37.8
Variational Bayesian Multiple Instance Learning With Gaussian Processes
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Ours+FRCNN
48.0
Utilizing the Instability in Weakly Supervised Object Detection
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