HyperAI超神経

Weakly Supervised Object Detection On Pascal

評価指標

MAP

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

モデル名
MAP
Paper TitleRepository
MSLPD35.4Few-Example Object Detection with Model Communication
WCCN37.9Weakly Supervised Cascaded Convolutional Networks-
wetectron(single-model)52.1Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Pred Net (Ens)49.5Dissimilarity Coefficient based Weakly Supervised Object Detection-
C-MIDN+FRCNN50.3C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection-
WeakSAM-OICR-DINO (with SAM)63.7WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
WeakSAM-MIST-DINO (with SAM)70.2WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
NSOD36.6Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images-
OICR + W-RPN43.2You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection-
OICR-Ens + FRCNN42.5Multiple Instance Detection Network with Online Instance Classifier Refinement
ZLDN-L42.9Zigzag Learning for Weakly Supervised Object Detection-
CASD(VGG16)53.6Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
WeakSAM-MIST-Faster RCNN (with SAM)69.2WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
Deep Self-Taught Learning38.3Deep Self-Taught Learning for Weakly Supervised Object Localization-
MELM42.4Min-Entropy Latent Model for Weakly Supervised Object Detection
OIM+IR+FRCNN46.4Object Instance Mining for Weakly Supervised Object Detection
WSDDN + context35.3ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
WeakSAM-MIST (with SAM)66.9WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
LM-VGPMIL37.8Variational Bayesian Multiple Instance Learning With Gaussian Processes-
Ours+FRCNN48.0Utilizing the Instability in Weakly Supervised Object Detection-
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