SOTAVerified

Image Categorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 61 papers

TitleStatusHype
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization—0
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples—0
Channel Interaction Networks for Fine-Grained Image Categorization—0
Action Recognition Using Supervised Spiking Neural Networks—0
diffGrad: An Optimization Method for Convolutional Neural NetworksCode0
AttentionRNN: A Structured Spatial Attention Mechanism—0
Learning what and where to attend with humans in the loop—0
KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its SpecificationsCode0
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets—0
BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections—0
Refining Image Categorization by Exploiting Web Images and General Corpus—0
Domain Adaptation for Visual Applications: A Comprehensive Survey—0
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition—0
Constrained Low-Rank Learning Using Least Squares-Based Regularization—0
High-Resolution Semantic Labeling with Convolutional Neural Networks—0
Recurrent Neural Networks to Correct Satellite Image Classification Maps—0
Dense CNN Learning with Equivalent Mappings—0
Network of Experts for Large-Scale Image Categorization—0
Simple and Efficient Learning using Privileged Information—0
Image classification based on support vector machine and the fusion of complementary features—0
No Spare Parts: Sharing Part Detectors for Image Categorization—0
Approximate Fisher Kernels of non-iid Image Models for Image Categorization—0
Unsupervised Visual Alignment With Similarity Graphs—0
Weakly Supervised Fine-Grained Image Categorization—0
Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.