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WS-AM: Weakly Supervised Attention Map for Scene Recognition

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What this work says

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

inferredcites →https://doi.org/10.1002/sec.900openalex-snapshot
A remote cancelable palmprint authentication protocol based on multi‐directional two‐dimensional PalmPhasor‐fusion
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_25openalex-snapshot
OTC: A Novel Local Descriptor for Scene Classification
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_11openalex-snapshot
Improving the Fisher Kernel for Large-Scale Image Classification
inferredcites →https://doi.org/10.1007/978-3-642-33709-3_6openalex-snapshot
Unsupervised Discovery of Mid-Level Discriminative Patches
inferredcites →https://doi.org/10.1007/978-3-642-33765-9_26openalex-snapshot
Scene Recognition on the Semantic Manifold
inferredcites →https://doi.org/10.1007/s11042-015-3058-7openalex-snapshot
Dual-source discrimination power analysis for multi-instance contactless palmprint recognition
inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot
Selective Search for Object Recognition
inferredcites →https://doi.org/10.1007/s11263-013-0636-xopenalex-snapshot
Image Classification with the Fisher Vector: Theory and Practice
inferredcites →https://doi.org/10.1007/s11263-013-0660-xopenalex-snapshot
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition
inferredcites →https://doi.org/10.1007/s11432-019-2713-1openalex-snapshot
FACLSTM: ConvLSTM with focused attention for scene text recognition
inferredcites →https://doi.org/10.1016/j.cviu.2007.09.014openalex-snapshot
Speeded-Up Robust Features (SURF)
inferredcites →https://doi.org/10.1016/j.neucom.2012.08.028openalex-snapshot
PalmHash Code vs. PalmPhasor Code
inferredcites →https://doi.org/10.1016/j.patcog.2019.01.020openalex-snapshot
MORAN: A Multi-Object Rectified Attention Network for scene text recognition
inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/access.2019.2908448openalex-snapshot
Scene Categorization Model Using Deep Visually Sensitive Features
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2008.4587597openalex-snapshot
A discriminatively trained, multiscale, deformable part model
inferredcites →https://doi.org/10.1109/cvpr.2009.5206537openalex-snapshot
Recognizing indoor scenes
inferredcites →https://doi.org/10.1109/cvpr.2009.5206757openalex-snapshot
Linear spatial pyramid matching using sparse coding for image classification
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995682openalex-snapshot
Salient coding for image classification
inferredcites →https://doi.org/10.1109/cvpr.2013.115openalex-snapshot
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images
inferredcites →https://doi.org/10.1109/cvpr.2013.124openalex-snapshot
Blocks That Shout: Distinctive Parts for Scene Classification
inferredcites →https://doi.org/10.1109/cvpr.2014.476openalex-snapshot
Learning Important Spatial Pooling Regions for Scene Classification
inferredcites →https://doi.org/10.1109/cvpr.2014.49openalex-snapshot
Multiscale Combinatorial Grouping
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298685openalex-snapshot
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298916openalex-snapshot
Scene classification with semantic Fisher vectors
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.476openalex-snapshot
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/dsd.2018.00055openalex-snapshot
Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2003.1238663openalex-snapshot
Video Google: a text retrieval approach to object matching in videos
inferredcites →https://doi.org/10.1109/iccv.2007.4408872openalex-snapshot
What, where and who? Classifying events by scene and object recognition
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.2015.152openalex-snapshot
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification
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/ictc.2010.5674791openalex-snapshot
Dynamic weighted discrimination power analysis in DCT domain for face and palmprint recognition
inferredcites →https://doi.org/10.1109/tcyb.2018.2820731openalex-snapshot
Scene Categorization Using Deeply Learned Gaze Shifting Kernel
inferredcites →https://doi.org/10.1109/tip.2016.2567076openalex-snapshot
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition
inferredcites →https://doi.org/10.1109/tip.2016.2629443openalex-snapshot
Locally Supervised Deep Hybrid Model for Scene Recognition
inferredcites →https://doi.org/10.1109/tip.2017.2666739openalex-snapshot
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
inferredcites →https://doi.org/10.1109/tip.2017.2675339openalex-snapshot
Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs
inferredcites →https://doi.org/10.1109/tpami.2010.224openalex-snapshot
CENTRIST: A Visual Descriptor for Scene Categorization
inferredcites →https://doi.org/10.1109/tpami.2011.235openalex-snapshot
Aggregating Local Image Descriptors into Compact Codes
inferredcites →https://doi.org/10.1109/tpami.2017.2723009openalex-snapshot
Places: A 10 Million Image Database for Scene Recognition
inferredcites →https://doi.org/10.1109/vcip47243.2019.8965779openalex-snapshot
DSAN: Double Supervised Network with Attention Mechanism for Scene Text Recognition
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1184/r1/6475841openalex-snapshot
Large Margin Learning of Upstream Scene Understanding Models
inferredcites →https://doi.org/10.1184/r1/6475985openalex-snapshot
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
inferredcites →https://doi.org/10.1609/aaai.v31i1.11202openalex-snapshot
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
inferredcites →https://doi.org/10.3390/info9040097openalex-snapshot
Scene Semantic Recognition Based on Probability Topic Model
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.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1808.00677openalex-snapshot
Double Supervised Network with Attention Mechanism for Scene Text Recognition
inferredcites →https://doi.org/10.5897/ijps.9000180openalex-snapshot
Dynamic weighted discrimination power analysis: A novel approach for face and palmprint recognition in DCT domain

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-33-4601-7_14openalex-snapshot
Urban Scene Recognition via Deep Network Integration
inferred← citeshttps://doi.org/10.1007/s00371-023-03162-9openalex-snapshot
Scene representation using a new two-branch neural network model
inferred← citeshttps://doi.org/10.1007/s11042-020-09556-4openalex-snapshot
Hierarchical saliency mapping for weakly supervised object localization based on class activation mapping
inferred← citeshttps://doi.org/10.1007/s11042-021-11701-6openalex-snapshot
High level visual scene classification using background knowledge of objects
inferred← citeshttps://doi.org/10.1007/s11042-022-13717-yopenalex-snapshot
Maximum entropy scaled super pixels segmentation for multi-object detection and scene recognition via deep belief network
inferred← citeshttps://doi.org/10.1007/s11042-023-15519-2openalex-snapshot
A global-local feature adaptive fusion network for image scene classification
inferred← citeshttps://doi.org/10.1007/s13735-022-00246-5openalex-snapshot
Semantic-aware visual scene representation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121018openalex-snapshot
Efficient deep-narrow residual networks using dilated pooling for scene recognition
inferred← citeshttps://doi.org/10.12794/metadc1944210openalex-snapshot
An Investigation of Scale Factor in Deep Networks for Scene Recognition
inferred← citeshttps://doi.org/10.32604/cmc.2022.027720openalex-snapshot
CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition
inferred← citeshttps://doi.org/10.3390/electronics10131541openalex-snapshot
Object Identification and Localization Using Grad-CAM++ with Mask Regional Convolution Neural Network
inferred← citeshttps://doi.org/10.3390/electronics9122012openalex-snapshot
Digital Signal, Image and Video Processing for Emerging Multimedia Technology
inferred← citeshttps://doi.org/10.3390/s23083970openalex-snapshot
Multi-Scale Feature Fusion of Covariance Pooling Networks for Fine-Grained Visual Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.2101.10531openalex-snapshot
Deep Learning for Scene Classification: A Survey
inferred← citeshttps://doi.org/10.5194/isprs-annals-x-1-w1-2023-469-2023openalex-snapshot
CONSTRUCTION OF A DUAL-TASK MODEL FOR INDOOR SCENE RECOGNITION AND SEMANTIC SEGMENTATION BASED ON POINT CLOUDS
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