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https://doi.org/10.1145/3355612
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What this work says

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

inferredcites →https://doi.org/10.1016/j.cviu.2018.02.003openalex-snapshot
Semi- and weakly-supervised human pose estimation
inferredcites →https://doi.org/10.1016/j.neucom.2015.07.024openalex-snapshot
Multiple-instance learning based decision neural networks for image retrieval and classification
inferredcites →https://doi.org/10.1016/j.patcog.2017.08.026openalex-snapshot
Revisiting multiple instance neural networks
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/10.1063/1.5080207openalex-snapshot
Exploring hard joints mining via hourglass-based generative adversarial network for human pose estimation
inferredcites →https://doi.org/10.1073/pnas.1524473113openalex-snapshot
Computer vision cracks the leaf code
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/tcsvt.2015.2406194openalex-snapshot
Robust Visual Tracking Using Structurally Random Projection and Weighted Least Squares
inferredcites →https://doi.org/10.1109/tcsvt.2016.2539860openalex-snapshot
Robust Visual Tracking via Basis Matching
inferredcites →https://doi.org/10.1109/tnnls.2016.2586194openalex-snapshot
A Biologically Inspired Appearance Model for Robust Visual Tracking
inferredcites →https://doi.org/10.1109/tpami.2008.284openalex-snapshot
Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning
inferredcites →https://doi.org/10.1109/tpami.2016.2567393openalex-snapshot
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
inferredcites →https://doi.org/10.1109/tpami.2019.2901875openalex-snapshot
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
inferredcites →https://doi.org/10.1109/wacv.2019.00206openalex-snapshot
Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds
inferredcites →https://doi.org/10.1145/3176646openalex-snapshot
Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition
inferredcites →https://doi.org/10.1145/3241059openalex-snapshot
Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment
inferredcites →https://doi.org/10.48550/arxiv.1407.4443openalex-snapshot
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.08408openalex-snapshot
Semantic Segmentation using Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1703.10717openalex-snapshot
BEGAN: Boundary Equilibrium Generative Adversarial Networks
inferredcites →https://doi.org/10.7554/elife.47994openalex-snapshot
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-69541-5_37openalex-snapshot
Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
inferred← citeshttps://doi.org/10.1007/s00521-020-04941-4openalex-snapshot
GAN-Poser: an improvised bidirectional GAN model for human motion prediction
inferred← citeshttps://doi.org/10.1007/s00521-020-05144-7openalex-snapshot
Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition
inferred← citeshttps://doi.org/10.1007/s10489-022-03193-0openalex-snapshot
A theoretical analysis based on causal inference and single-instance learning
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106478openalex-snapshot
WBA-DNN: A hybrid weight bat algorithm with deep neural network for classification of poisonous and harmful wild plants
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.02.014openalex-snapshot
Image synthesis with adversarial networks: A comprehensive survey and case studies
inferred← citeshttps://doi.org/10.1080/21681163.2020.1805798openalex-snapshot
A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3106442openalex-snapshot
Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/thms.2022.3195952openalex-snapshot
Subject-Specific Human Modeling for Human Pose Estimation
inferred← citeshttps://doi.org/10.1145/3446792openalex-snapshot
A Multi-instance Multi-label Dual Learning Approach for Video Captioning
inferred← citeshttps://doi.org/10.1145/3458280openalex-snapshot
Equivariant Adversarial Network for Image-to-image Translation
inferred← citeshttps://doi.org/10.1145/3470482.3479633openalex-snapshot
Human Pose Estimation for Training Assistance
inferred← citeshttps://doi.org/10.1145/3511808.3557655openalex-snapshot
Multiple Instance Learning for Uplift Modeling
inferred← citeshttps://doi.org/10.2139/ssrn.7168670openalex-snapshot
Bridging the Accuracy-Efficiency Disconnect: A Tripartite Taxonomy and Comprehensive Survey on Deep Learning for Human Pose Estimation
inferred← citeshttps://doi.org/10.3390/make5040081openalex-snapshot
Human Pose Estimation Using Deep Learning: A Systematic Literature Review
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