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We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification

https://doi.org/10.1109/cvpr.2016.99

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-47979-1_7openalex-snapshot

Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary

inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

inferredcites →https://doi.org/10.1007/978-3-319-10599-4_22openalex-snapshot

Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_24openalex-snapshot

Training Object Class Detectors from Eye Tracking Data

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

Edge Boxes: Locating Object Proposals from Edges

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_32openalex-snapshot

Visual Recognition with Humans in the Loop

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_33openalex-snapshot

Localizing Objects While Learning Their Appearance

inferredcites →https://doi.org/10.1007/978-3-642-33786-4_5openalex-snapshot

Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification

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

The Pascal Visual Object Classes (VOC) Challenge

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

Selective Search for Object Recognition

inferredcites →https://doi.org/10.1007/s11263-014-0721-9openalex-snapshot

Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot

ImageNet Large Scale Visual Recognition Challenge

inferredcites →https://doi.org/10.1016/j.cviu.2005.09.012openalex-snapshot

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot

Solving the multiple instance problem with axis-parallel rectangles

inferredcites →https://doi.org/10.1109/cvpr.2004.1315253openalex-snapshot

Names and faces in the news

inferredcites →https://doi.org/10.1109/cvpr.2004.383openalex-snapshot

Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot

Histograms of Oriented Gradients for Human Detection

inferredcites →https://doi.org/10.1109/cvpr.2009.5206594openalex-snapshot

Learning to detect unseen object classes by between-class attribute transfer

inferredcites →https://doi.org/10.1109/cvpr.2009.5206627openalex-snapshot

Multi-class active learning for image classification

inferredcites →https://doi.org/10.1109/cvpr.2009.5206705openalex-snapshot

What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations

inferredcites →https://doi.org/10.1109/cvpr.2010.5540044openalex-snapshot

Beyond active noun tagging: Modeling contextual interactions for multi-class active learning

inferredcites →https://doi.org/10.1109/cvpr.2010.5540226openalex-snapshot

What is an object?

inferredcites →https://doi.org/10.1109/cvpr.2011.5995475openalex-snapshot

Improving classifiers with unlabeled weakly-related videos

inferredcites →https://doi.org/10.1109/cvpr.2012.6248055openalex-snapshot

Large-scale knowledge transfer for object localization in ImageNet

inferredcites →https://doi.org/10.1109/cvpr.2012.6248060openalex-snapshot

Interactive object detection

inferredcites →https://doi.org/10.1109/cvpr.2012.6248065openalex-snapshot

Learning object class detectors from weakly annotated video

inferredcites →https://doi.org/10.1109/cvpr.2013.321openalex-snapshot

Discriminative Segment Annotation in Weakly Labeled Video

inferredcites →https://doi.org/10.1109/cvpr.2013.81openalex-snapshot

Fine-Grained Crowdsourcing for Fine-Grained Recognition

inferredcites →https://doi.org/10.1109/cvpr.2013.89openalex-snapshot

Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback

inferredcites →https://doi.org/10.1109/cvpr.2014.190openalex-snapshot

Co-localization in Real-World Images

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.2015.7298711openalex-snapshot

Weakly supervised object detection with convex clustering

inferredcites →https://doi.org/10.1109/cvpr.2015.7298824openalex-snapshot

Best of both worlds: Human-machine collaboration for object annotation

inferredcites →https://doi.org/10.1109/cvprw.2009.5206594openalex-snapshot

Learning to detect unseen object classes by between-class attribute transfer

inferredcites →https://doi.org/10.1109/iccv.2007.4408844openalex-snapshot

Active Learning with Gaussian Processes for Object Categorization

inferredcites →https://doi.org/10.1109/iccv.2011.6126229openalex-snapshot

Ensemble of exemplar-SVMs for object detection and beyond

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.2011.6126281openalex-snapshot

Relative attributes

inferredcites →https://doi.org/10.1109/iccv.2011.6126395openalex-snapshot

Actively selecting annotations among objects and attributes

inferredcites →https://doi.org/10.1109/iccv.2011.6126504openalex-snapshot

Tabula rasa: Model transfer for object category detection

inferredcites →https://doi.org/10.1109/iccv.2011.6126539openalex-snapshot

Multiclass recognition and part localization with humans in the loop

inferredcites →https://doi.org/10.1109/iccv.2013.10openalex-snapshot

Regionlets for Generic Object Detection

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

Fast R-CNN

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.2009.167openalex-snapshot

Object Detection with Discriminatively Trained Part-Based Models

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.2016.2612187openalex-snapshot

Video Object Discovery and Co-Segmentation with Extremely Weak Supervision

inferredcites →https://doi.org/10.5244/c.26.78openalex-snapshot

Transfer Learning by Ranking for Weakly Supervised Object Annotation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11042-017-5087-xopenalex-snapshot

Weakly supervised detection with decoupled attention-based deep representation

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.02.018openalex-snapshot

Dynamic proposal sampling for weakly supervised object detection

inferred← citeshttps://doi.org/10.1080/01691864.2019.1697750openalex-snapshot

Efficient collection and automatic annotation of real-world object images by taking advantage of post-diminished multiple visual markers

inferred← citeshttps://doi.org/10.1109/cvpr.2019.00079openalex-snapshot

Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01134openalex-snapshot

Noise-Aware Fully Webly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/humanoids.2017.8246973openalex-snapshot

Interactive data collection for deep learning object detectors on humanoid robots

inferred← citeshttps://doi.org/10.1109/iros.2018.8594067openalex-snapshot

Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots

inferred← citeshttps://doi.org/10.1109/wacv.2019.00163openalex-snapshot

Autonomous Curiosity for Real-Time Training Onboard Robotic Agents

inferred← citeshttps://doi.org/10.15346/hc.v8i2.121openalex-snapshot

Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images

inferred← citeshttps://doi.org/10.1609/aaai.v34i03.5639openalex-snapshot

BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement

inferred← citeshttps://doi.org/10.1609/aaai.v38i3.27976openalex-snapshot

Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection

inferred← citeshttps://doi.org/10.18174/511122openalex-snapshot

Interactive machine vision for wildlife conservation

inferred← citeshttps://doi.org/10.32657/10220/48588openalex-snapshot

Smart three-dimensional machine vision

inferred← citeshttps://doi.org/10.32657/10356/107566openalex-snapshot

Deep learning for visual recognition at pixel, object, and image levels

inferred← citeshttps://doi.org/10.3390/jimaging7110236openalex-snapshot

Automated Data Annotation for 6-DoF AI-Based Navigation Algorithm Development

inferred← citeshttps://doi.org/10.48550/arxiv.1904.12618openalex-snapshot

Deep Learning Based Automatic Video Annotation Tool for Self-Driving Car

inferred← citeshttps://doi.org/10.48550/arxiv.2104.02749openalex-snapshot

Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression

inferred← citeshttps://doi.org/10.70675/dbc1d302za342z4637z8e82z6a7fbde4a863openalex-snapshot

Méthodes de vision par ordinateur et d'apprentissage profond pour la localisation, le suivi et l'analyse de structure de plantes : application au désherbage de précision

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