On the public citation graph

Transfer Learning by Ranking for Weakly Supervised Object Annotation

https://doi.org/10.5244/c.26.78

0 signed · 50 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-01225-0_35openalex-snapshot

W-TALC: Weakly-Supervised Temporal Activity Localization and Classification

inferred← citeshttps://doi.org/10.1007/978-3-030-01261-8_30openalex-snapshot

DOCK: Detecting Objects by Transferring Common-Sense Knowledge

inferred← citeshttps://doi.org/10.1007/978-3-030-30671-7_2openalex-snapshot

M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-10599-4_28openalex-snapshot

Weakly Supervised Object Localization with Latent Category Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-46454-1_22openalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/978-3-319-46454-1_7openalex-snapshot

Weakly Supervised Object Localization Using Size Estimates

inferred← citeshttps://doi.org/10.1007/s00138-020-01068-3openalex-snapshot

Object detection based on semi-supervised domain adaptation for imbalanced domain resources

inferred← citeshttps://doi.org/10.1007/s12541-018-0096-xopenalex-snapshot

Vision-Based Defect Detection for Mobile Phone Cover Glass using Deep Neural Networks

inferred← citeshttps://doi.org/10.1016/j.futures.2018.11.007openalex-snapshot

Assessing the future plausibility of catastrophically dangerous AI

inferred← citeshttps://doi.org/10.1109/access.2020.3046181openalex-snapshot

Domain Adaptation of Binary Sensors in Smart Environments Through Activity Alignment

inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298711openalex-snapshot

Weakly supervised object detection with convex clustering

inferred← citeshttps://doi.org/10.1109/cvpr.2016.237openalex-snapshot

How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image

inferred← citeshttps://doi.org/10.1109/cvpr.2016.311openalex-snapshot

Weakly Supervised Deep Detection Networks

inferred← citeshttps://doi.org/10.1109/cvpr.2016.382openalex-snapshot

Weakly Supervised Object Localization with Progressive Domain Adaptation

inferred← citeshttps://doi.org/10.1109/cvpr.2016.99openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/cvpr.2017.27openalex-snapshot

Training Object Class Detectors with Click Supervision

inferred← citeshttps://doi.org/10.1109/cvpr.2017.457openalex-snapshot

Deep Self-Taught Learning for Weakly Supervised Object Localization

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00121openalex-snapshot

Revisiting Knowledge Transfer for Training Object Class Detectors

inferred← citeshttps://doi.org/10.1109/cvpr.2019.00667openalex-snapshot

Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects

inferred← citeshttps://doi.org/10.1109/cvpr.2019.01232openalex-snapshot

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01295openalex-snapshot

Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/iccv.2013.371openalex-snapshot

Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation

inferred← citeshttps://doi.org/10.1109/iccv.2017.366openalex-snapshot

Weakly Supervised Object Localization Using Things and Stuff Transfer

inferred← citeshttps://doi.org/10.1109/icip.2014.7025827openalex-snapshot

Fusing generic objectness and deformable part-based models for weakly supervised object detection

inferred← citeshttps://doi.org/10.1109/icisce50968.2020.00116openalex-snapshot

Dynamic Pseudo Labels Sampling for Semi-Supersvied Person Re-Identification

inferred← citeshttps://doi.org/10.1109/icstcc50638.2020.9259701openalex-snapshot

Deep learning models based on automatic labeling with application in echocardiography

inferred← citeshttps://doi.org/10.1109/ismsit56059.2022.9932735openalex-snapshot

A Recurrent and Meta-learned Model of Weakly Supervised Object Localization

inferred← citeshttps://doi.org/10.1109/tcyb.2015.2400821openalex-snapshot

Weakly Supervised Human Fixations Prediction

inferred← citeshttps://doi.org/10.1109/tip.2015.2396361openalex-snapshot

Large-Scale Weakly Supervised Object Localization via Latent Category Learning

inferred← citeshttps://doi.org/10.1109/tip.2018.2839901openalex-snapshot

Simultaneously Discovering and Localizing Common Objects in Wild Images

inferred← citeshttps://doi.org/10.1109/tmm.2016.2614862openalex-snapshot

Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals

inferred← citeshttps://doi.org/10.1109/tnnls.2015.2495161openalex-snapshot

Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining

inferred← citeshttps://doi.org/10.1109/tnnls.2018.2816021openalex-snapshot

Weakly Supervised Object Detection via Object-Specific Pixel Gradient

inferred← citeshttps://doi.org/10.1109/tpami.2015.2392769openalex-snapshot

Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images

inferred← citeshttps://doi.org/10.1109/tpami.2015.2456908openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/tpami.2016.2535231openalex-snapshot

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

inferred← citeshttps://doi.org/10.1109/tpami.2018.2810288openalex-snapshot

Mixed Supervised Object Detection with Robust Objectness Transfer

inferred← citeshttps://doi.org/10.1109/tpami.2019.2899839openalex-snapshot

Progressive Representation Adaptation for Weakly Supervised Object Localization

inferred← citeshttps://doi.org/10.1109/tpami.2021.3074313openalex-snapshot

Weakly Supervised Object Localization and Detection: A Survey

inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093263openalex-snapshot

Weakly Supervised Gaussian Networks for Action Detection

inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00127openalex-snapshot

Detecting Human-Object Interaction with Mixed Supervision

inferred← citeshttps://doi.org/10.1117/12.2524453openalex-snapshot

Combining partial parameter transfer strategy and spatial pyramid pooling for biological-cell classification

inferred← citeshttps://doi.org/10.1142/s0218001418500246openalex-snapshot

Saliency Region Detection Method Based on Background and Spatial Position

inferred← citeshttps://doi.org/10.1145/3158674openalex-snapshot

A Review of Co-Saliency Detection Algorithms

inferred← citeshttps://doi.org/10.32657/10356/146898openalex-snapshot

Common visual pattern discovery and analysis

inferred← citeshttps://doi.org/10.32657/10356/164693openalex-snapshot

2D and 3D visual understanding with limited supervision

inferred← citeshttps://doi.org/10.48550/arxiv.1604.07090openalex-snapshot

A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges

inferred← citeshttps://doi.org/10.48550/arxiv.1609.04331openalex-snapshot

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

inferred← citeshttps://doi.org/10.48550/arxiv.1703.01290openalex-snapshot

Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning

inferred← citeshttps://doi.org/10.48550/arxiv.1704.06189openalex-snapshot

Training object class detectors with click supervision

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.