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Min-Entropy Latent Model for Weakly Supervised Object Detection

https://doi.org/10.1109/tpami.2019.2898858

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_22openalex-snapshot

Weakly Supervised Region Proposal Network and Object Detection

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_27openalex-snapshot

TS$$^{2}$$C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection

inferredcites →https://doi.org/10.1007/978-3-319-10599-4_28openalex-snapshot

Weakly Supervised Object Localization with Latent Category Learning

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot

Edge Boxes: Locating Object Proposals from Edges

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_43openalex-snapshot

Weakly Supervised Localization Using Deep Feature Maps

inferredcites →https://doi.org/10.1007/978-3-319-46454-1_22openalex-snapshot

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

inferredcites →https://doi.org/10.1007/978-3-319-46454-1_7openalex-snapshot

Weakly Supervised Object Localization Using Size Estimates

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_2openalex-snapshot

Image Co-localization by Mimicking a Good Detector’s Confidence Score Distribution

inferredcites →https://doi.org/10.1007/978-3-642-33712-3_25openalex-snapshot

Diagnosing Error in Object Detectors

inferredcites →https://doi.org/10.1007/978-3-642-61257-2openalex-snapshot

Numerical Continuation Methods

inferredcites →https://doi.org/10.1007/bf01901932openalex-snapshot

Charakterisierung der Entropien positiver Ordnung und der shannonschen Entropie

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-012-0538-3openalex-snapshot

Weakly Supervised Localization and Learning with Generic Knowledge

inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot

Selective Search for Object Recognition

inferredcites →https://doi.org/10.1007/s11263-018-1125-zopenalex-snapshot

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

inferredcites →https://doi.org/10.1007/s11263-019-01247-4openalex-snapshot

Deep Learning for Generic Object Detection: A Survey

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2014.309openalex-snapshot

Multi-fold MIL Training for Weakly Supervised Object Localization

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298668openalex-snapshot

Is object localization for free? - Weakly-supervised learning with convolutional neural networks

inferredcites →https://doi.org/10.1109/cvpr.2015.7298711openalex-snapshot

Weakly supervised object detection with convex clustering

inferredcites →https://doi.org/10.1109/cvpr.2015.7298906openalex-snapshot

Detector discovery in the wild: Joint multiple instance and representation learning

inferredcites →https://doi.org/10.1109/cvpr.2015.7298968openalex-snapshot

Deep multiple instance learning for image classification and auto-annotation

inferredcites →https://doi.org/10.1109/cvpr.2016.311openalex-snapshot

Weakly Supervised Deep Detection Networks

inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot

Learning Deep Features for Discriminative Localization

inferredcites →https://doi.org/10.1109/cvpr.2016.379openalex-snapshot

ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2016.382openalex-snapshot

Weakly Supervised Object Localization with Progressive Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.222openalex-snapshot

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model

inferredcites →https://doi.org/10.1109/cvpr.2017.326openalex-snapshot

Multiple Instance Detection Network with Online Instance Classifier Refinement

inferredcites →https://doi.org/10.1109/cvpr.2017.40openalex-snapshot

SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2017.457openalex-snapshot

Deep Self-Taught Learning for Weakly Supervised Object Localization

inferredcites →https://doi.org/10.1109/cvpr.2017.545openalex-snapshot

Weakly Supervised Cascaded Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00141openalex-snapshot

Min-Entropy Latent Model for Weakly Supervised Object Detection

inferredcites →https://doi.org/10.1109/iccv.2011.6126261openalex-snapshot

Weakly supervised object detector learning with model drift detection

inferredcites →https://doi.org/10.1109/iccv.2011.6126383openalex-snapshot

Scene recognition and weakly supervised object localization with deformable part-based models

inferredcites →https://doi.org/10.1109/iccv.2015.145openalex-snapshot

Relaxed Multiple-Instance SVM with Application to Object Discovery

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2015.334openalex-snapshot

Entropy-Based Latent Structured Output Prediction

inferredcites →https://doi.org/10.1109/iccv.2017.204openalex-snapshot

Soft Proposal Networks for Weakly Supervised Object Localization

inferredcites →https://doi.org/10.1109/iccv.2017.366openalex-snapshot

Weakly Supervised Object Localization Using Things and Stuff Transfer

inferredcites →https://doi.org/10.1109/iccv.2017.381openalex-snapshot

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization

inferredcites →https://doi.org/10.1109/iccv.2017.382openalex-snapshot

Two-Phase Learning for Weakly Supervised Object Localization

inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

inferredcites →https://doi.org/10.1109/tip.2015.2396361openalex-snapshot

Large-Scale Weakly Supervised Object Localization via Latent Category Learning

inferredcites →https://doi.org/10.1109/tpami.2015.2456908openalex-snapshot

Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting

inferredcites →https://doi.org/10.1109/tpami.2016.2535231openalex-snapshot

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/tpami.2018.2876304openalex-snapshot

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

inferredcites →https://doi.org/10.1145/1553374.1553380openalex-snapshot

Curriculum learning

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.48550/arxiv.1403.1024openalex-snapshot

On learning to localize objects with minimal supervision

inferredcites →https://doi.org/10.48550/arxiv.1406.6507openalex-snapshot

Weakly-supervised Discovery of Visual Pattern Configurations

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1609.00288openalex-snapshot

A Unified View of Multi-Label Performance Measures

inferredcites →https://doi.org/10.48550/arxiv.1805.02641openalex-snapshot

Label Refinery: Improving ImageNet Classification through Label Progression

inferredcites →https://doi.org/10.5244/c.24.47openalex-snapshot

Weakly Supervised Object Recognition and Localization with Invariant High Order Features

inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot

Return of the Devil in the Details: Delving Deep into Convolutional Nets

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