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Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification

https://doi.org/10.1109/tpami.2021.3107164
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Log‐Euclidean metrics for fast and simple calculus on diffusion tensors
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Region Covariance: A Fast Descriptor for Detection and Classification
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Second-Order Democratic Aggregation
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Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond
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Few-Shot Object Detection by Second-Order Pooling
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_29openalex-snapshot
Food-101 – Mining Discriminative Components with Random Forests
inferredcites →https://doi.org/10.1007/978-3-540-45167-9_12openalex-snapshot
Kernels and Regularization on Graphs
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_55openalex-snapshot
Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
inferredcites →https://doi.org/10.1007/978-3-642-33786-4_32openalex-snapshot
Semantic Segmentation with Second-Order Pooling
inferredcites →https://doi.org/10.1007/s11263-005-3222-zopenalex-snapshot
A Riemannian Framework for Tensor Computing
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s11263-015-0833-xopenalex-snapshot
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
inferredcites →https://doi.org/10.1007/s11263-016-0970-xopenalex-snapshot
Towards Reversal-Invariant Image Representation
inferredcites →https://doi.org/10.1016/j.cviu.2012.10.010openalex-snapshot
Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection
inferredcites →https://doi.org/10.1017/9781139051699.031openalex-snapshot
Neural Networks for Machine Learning
inferredcites →https://doi.org/10.1017/s0266466600011129openalex-snapshot
On Differentiating Eigenvalues and Eigenvectors
inferredcites →https://doi.org/10.1073/pnas.092277599openalex-snapshot
Rapid natural scene categorization in the near absence of attention
inferredcites →https://doi.org/10.1080/00029890.1970.11992465openalex-snapshot
Positive Definite Matrices
inferredcites →https://doi.org/10.1093/nar/gkh081openalex-snapshot
BRENDA, the enzyme database: updates and major new developments
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Learning from one example through shared densities on transforms
inferredcites →https://doi.org/10.1109/cvpr.2004.1315036openalex-snapshot
An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation
inferredcites →https://doi.org/10.1109/cvpr.2009.5206537openalex-snapshot
Recognizing indoor scenes
inferredcites →https://doi.org/10.1109/cvpr.2009.5206609openalex-snapshot
On the burstiness of visual elements
inferredcites →https://doi.org/10.1109/cvpr.2010.5539963openalex-snapshot
Learning mid-level features for recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.461openalex-snapshot
Describing Textures in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2015.7299007openalex-snapshot
Deep filter banks for texture recognition and segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.582openalex-snapshot
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.325openalex-snapshot
Kernel Pooling for Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.755openalex-snapshot
Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors
inferredcites →https://doi.org/10.1109/cvpr.2017.772openalex-snapshot
Deep Co-occurrence Feature Learning for Visual Object Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00105openalex-snapshot
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
inferredcites →https://doi.org/10.1109/cvpr.2018.00469openalex-snapshot
Geometry Aware Constrained Optimization Techniques for Deep Learning
inferredcites →https://doi.org/10.1109/cvpr.2018.00605openalex-snapshot
A Deeper Look at Power Normalizations
inferredcites →https://doi.org/10.1109/cvpr.2019.00288openalex-snapshot
Few-Shot Learning via Saliency-Guided Hallucination of Samples
inferredcites →https://doi.org/10.1109/cvpr.2019.00672openalex-snapshot
Few-Shot Learning With Localization in Realistic Settings
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00419openalex-snapshot
Adaptive Subspaces for Few-Shot Learning
inferredcites →https://doi.org/10.1109/cvprw.2009.5206537openalex-snapshot
Recognizing indoor scenes
inferredcites →https://doi.org/10.1109/iccv.2011.6126534openalex-snapshot
In defense of soft-assignment coding
inferredcites →https://doi.org/10.1109/iccv.2015.136openalex-snapshot
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.170openalex-snapshot
Bilinear CNN Models for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.339openalex-snapshot
Matrix Backpropagation for Deep Networks with Structured Layers
inferredcites →https://doi.org/10.1109/iccv.2017.404openalex-snapshot
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
inferredcites →https://doi.org/10.1109/iccv.2017.601openalex-snapshot
Scene Categorization with Spectral Features
inferredcites →https://doi.org/10.1109/icip.2005.1530353openalex-snapshot
Generalized histogram intersection kernel for image recognition
inferredcites →https://doi.org/10.1109/icip.2011.6116639openalex-snapshot
Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match
inferredcites →https://doi.org/10.1109/icpr.2016.7900209openalex-snapshot
Integrating deep features for material recognition
inferredcites →https://doi.org/10.1109/icvgip.2008.47openalex-snapshot
Automated Flower Classification over a Large Number of Classes
inferredcites →https://doi.org/10.1109/tip.2013.2252622openalex-snapshot
Action Recognition From Video Using Feature Covariance Matrices
inferredcites →https://doi.org/10.1109/tpami.2008.75openalex-snapshot
Pedestrian Detection via Classification on Riemannian Manifolds
inferredcites →https://doi.org/10.1109/tpami.2012.259openalex-snapshot
Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices
inferredcites →https://doi.org/10.1109/tpami.2015.2500224openalex-snapshot
Factors of Transferability for a Generic ConvNet Representation
inferredcites →https://doi.org/10.1109/tpami.2016.2545667openalex-snapshot
Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection
inferredcites →https://doi.org/10.1109/tpami.2017.2723400openalex-snapshot
Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2018.2885764openalex-snapshot
The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization
inferredcites →https://doi.org/10.1109/wacv.2019.00131openalex-snapshot
Power Normalizing Second-Order Similarity Network for Few-Shot Learning
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1167/9.8.784openalex-snapshot
Material perception: What can you see in a brief glance?
inferredcites →https://doi.org/10.1214/09-aoas249openalex-snapshot
Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging
inferredcites →https://doi.org/10.13140/2.1.3852.6085openalex-snapshot
Higher-order Occurrence Pooling on Mid-and Low-level Features: Visual Concept Detection
inferredcites →https://doi.org/10.1515/9781400827787openalex-snapshot
Positive Definite Matrices
inferredcites →https://doi.org/10.1609/aaai.v30i1.9917openalex-snapshot
Two-Stream Contextualized CNN for Fine-Grained Image Classification
inferredcites →https://doi.org/10.1609/aaai.v31i1.10866openalex-snapshot
A Riemannian Network for SPD Matrix Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11782openalex-snapshot
An End-to-End Deep Learning Architecture for Graph Classification
inferredcites →https://doi.org/10.2514/3.49330openalex-snapshot
Derivatives of Eigenvalues and Eigenvectors for a General Matrix
inferredcites →https://doi.org/10.2514/3.5795openalex-snapshot
Derivatives of eigenvalues and eigenvectors
inferredcites →https://doi.org/10.26190/unsworks/32608openalex-snapshot
SIMPLE SPECTRAL GRAPH CONVOLUTION
inferredcites →https://doi.org/10.48550/arxiv.1505.02496openalex-snapshot
Training Deeper Convolutional Networks with Deep Supervision
inferredcites →https://doi.org/10.48550/arxiv.1508.01667openalex-snapshot
Places205-VGGNet Models for Scene Recognition
inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-snapshot
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-snapshot
Prototypical Networks for Few-shot Learning
inferredcites →https://doi.org/10.48550/arxiv.1805.08090openalex-snapshot
Graph Capsule Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1805.11921openalex-snapshot
Anonymous Walk Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1902.08399openalex-snapshot
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
inferredcites →https://doi.org/10.48550/arxiv.1903.02428openalex-snapshot
Fast Graph Representation Learning with PyTorch Geometric
inferredcites →https://doi.org/10.5244/c.31.117openalex-snapshot
Improved Bilinear Pooling with CNNs

What points at this work

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

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Multi-Speed Global Contextual Subspace Matching for Few-Shot Action Recognition
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Fsake: Few-Shot Graph Learning Via Adaptive Neighbor Class Knowledge Embedding
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Fsake: Few-Shot Graph Learning Via Adaptive Neighbor Class Knowledge Embedding
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Prototype-Based Self-Adaptive Distribution Calibration for Few-Shot Image Classification
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