| WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition | ✓ Link | 73.4 | WeakSAM-MIST-DINO (with SAM) | 2024-02-22 |
| WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition | ✓ Link | 71.8 | WeakSAM-MIST-Faster RCNN (with SAM) | 2024-02-22 |
| WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition | ✓ Link | 67.4 | WeakSAM-MIST (with SAM) | 2024-02-22 |
| WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition | ✓ Link | 66.1 | WeakSAM-OICR-DINO (with SAM) | 2024-02-22 |
| WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition | ✓ Link | 65.7 | WeakSAM-OICR-Faster RCNN (with SAM) | 2024-02-22 |
| WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition | ✓ Link | 58.9 | WeakSAM-OICR (with SAM) | 2024-02-22 |
| Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection | ✓ Link | 58.1 | wetectron (single mode, 07+12) | 2020-04-09 |
| Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection | ✓ Link | 56.8 | CASD(VGG16) | 2020-10-22 |
| Object Discovery via Contrastive Learning for Weakly Supervised Object Detection | ✓ Link | 56.1 | OD-WSCL | 2022-08-16 |
| Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection | ✓ Link | 54.9 | wetectron(single-model) | 2020-04-09 |
| Towards Precise End-to-end Weakly Supervised Object Detection Network | ✓ Link | 54.5 | Our-Ens | 2019-11-27 |
| Dissimilarity Coefficient based Weakly Supervised Object Detection | | 53.6 | Pred Net (Ens) | 2018-11-25 |
| WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection | | 53.6 | WSOD2 | 2019-09-11 |
| C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection | | 53.6 | C-MIDN | 2019-10-01 |
| C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection | ✓ Link | 53.1 | FRCNN C-MIL | 2019-04-11 |
| Utilizing the Instability in Weakly Supervised Object Detection | | 52.6 | Ours+FRCNN | 2019-06-14 |
| Object Instance Mining for Weakly Supervised Object Detection | ✓ Link | 52.6 | OIM+IR+FRCNN | 2020-02-04 |
| Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation | ✓ Link | 52.5 | WS-JDS FRCNN | 2019-06-01 |
| W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection | | 52.4 | WSD+PGE+PGA+FSD2 | 2018-06-01 |
| Object-Aware Instance Labeling for Weakly Supervised Object Detection | | 52.1 | PGE (Ours + FRCNN) | 2019-08-10 |
| Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning | | 51.2 | pipeline method | 2018-02-26 |
| PCL: Proposal Cluster Learning for Weakly Supervised Object Detection | ✓ Link | 48.8 | PCL-OB-G-Ens + FRCNN | 2018-07-09 |
| WSOD with PSNet and Box Regression | | 48.8 | Ours+PRS | 2019-11-26 |
| Zigzag Learning for Weakly Supervised Object Detection | | 47.6 | ZLDN-L | 2018-04-25 |
| Min-Entropy Latent Model for Weakly Supervised Object Detection | ✓ Link | 47.3 | MELM | 2019-02-16 |
| Multiple Instance Detection Network with Online Instance Classifier Refinement | ✓ Link | 47.0 | OICR-Ens + FRCNN | 2017-04-01 |
| You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection | | 46.9 | OICR + W-RPN | 2019-06-01 |
| Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection | | 46.2 | SegAgg-Adapt | 2020-10-01 |
| Variational Bayesian Multiple Instance Learning With Gaussian Processes | ✓ Link | 46.1 | VGPMIL | 2017-07-01 |
| Exploiting Web Images for Weakly Supervised Object Detection | | 46.0 | WebRelETH | 2017-07-27 |
| Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation | | 43.9 | SegAgg | 2018-09-04 |
| Deep Self-Taught Learning for Weakly Supervised Object Localization | | 43.7 | Deep Self-Taught Learning | 2017-04-18 |
| Weakly Supervised Cascaded Convolutional Networks | | 42.8 | WCCN | 2016-11-24 |
| Few-Example Object Detection with Model Communication | ✓ Link | 41.7 | MSLPD | 2017-06-26 |
| Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization | | 40.9 | Our scheme | 2019-10-04 |
| Weakly Supervised Deep Detection Networks | ✓ Link | 39.3 | WSDDN-Ens | 2015-11-09 |
| Self Paced Deep Learning for Weakly Supervised Object Detection | ✓ Link | 38.11 | Self-Paced Learning | 2016-05-24 |
| Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images | | 38.0 | NSOD | 2019-12-01 |
| ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization | ✓ Link | 36.3 | WSDDN + context | 2016-09-14 |
| Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning | | 31.3 | Self-paced curriculum learning | 2017-03-03 |
| On learning to localize objects with minimal supervision | | 22.7 | Cover + SLSVM | 2014-03-05 |