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Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )

Papers

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Showing 51–100 of 142 papers

TitleStatusHype
Compositional Mixture Representations for Vision and Text—0
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection—0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Deep Self-Taught Learning for Weakly Supervised Object Localization—0
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection—0
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection—0
Dissimilarity Coefficient based Weakly Supervised Object Detection—0
Enabling Deep Residual Networks for Weakly Supervised Object Detection—0
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion—0
Exploiting Web Images for Weakly Supervised Object Detection—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Few-shot Weakly-Supervised Object Detection via Directional Statistics—0
Generative Adversarial Learning Towards Fast Weakly Supervised Detection—0
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection—0
Learning Better Visual Representations for Weakly-Supervised Object Detection Using Natural Language Supervision—0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
Learning Object Scale With Click Supervision for Object Detection—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images—0
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection—0
Negative Prototypes Guided Contrastive Learning for WSOD—0
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection—0
Towards Object Detection from Motion—0
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information—0
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection—0
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images—0
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection—0
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection—0
Two-phase weakly supervised object detection with pseudo ground truth mining—0
Universal Bounding Box Regression and Its Applications—0
Utilizing the Instability in Weakly Supervised Object Detection—0
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection—0
Weakly Supervised Cascaded Convolutional Networks—0
Weakly Supervised Instance Segmentation by Deep Community Learning—0
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization—0
Weakly Supervised Localization using Deep Feature Maps—0
Weakly supervised object detection using pseudo-strong labels—0
Weakly Supervised Object Detection with Pointwise Mutual Information—0
Weakly Supervised Object Detection With Convex Clustering—0
Weakly Supervised Object Detection with Segmentation Collaboration—0
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks—0
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks—0
Weakly Supervised Open-Vocabulary Object Detection—0
Weakly Supervised Region Proposal Network and Object Detection—0
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection—0
WSOD with PSNet and Box Regression—0
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection—0
Zigzag Learning for Weakly Supervised Object Detection—0
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