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Image Categorization

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TitleStatusHype
Learning an Adaptation Function to Assess Image Visual SimilaritiesCode1
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationCode1
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image ClassificationCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Learning what and where to attendCode1
A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning—0
Action Recognition Using Supervised Spiking Neural Networks—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections—0
AttentionRNN: A Structured Spatial Attention Mechanism—0
An Aerial Image Recognition Framework using Discrimination and Redundancy Quality Measure—0
Channel Interaction Networks for Fine-Grained Image Categorization—0
Classifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning Approach—0
Constrained Low-Rank Learning Using Least Squares-Based Regularization—0
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets—0
Artificial Perceptual Learning: Image Categorization with Weak Supervision—0
Dense CNN Learning with Equivalent Mappings—0
Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling—0
Domain Adaptation for Visual Applications: A Comprehensive Survey—0
Efficient Image Categorization with Sparse Fisher Vector—0
Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME—0
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach—0
FungiTastic: A multi-modal dataset and benchmark for image categorization—0
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization—0
Approximate Fisher Kernels of non-iid Image Models for Image Categorization—0
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