SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9151–9200 of 10420 papers

TitleStatusHype
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware—0
CurriculumNet: Weakly Supervised Learning from Large-Scale Web ImagesCode0
The Quest for the Golden Activation Function—0
Binarized Convolutional Neural Networks for Efficient Inference on GPUs—0
Efficient Progressive Neural Architecture Search—0
MnasNet: Platform-Aware Neural Architecture Search for MobileCode1
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured DataCode0
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture DesignCode1
Improving Transferability of Deep Neural Networks—0
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification—0
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning—0
Comparator Networks—0
Extreme Network Compression via Filter Group Approximation—0
MaskConnect: Connectivity Learning by Gradient Descent—0
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network—0
Influence of Image Classification Accuracy on Saliency Map EstimationCode0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization—0
Effects of Degradations on Deep Neural Network ArchitecturesCode0
End-to-End Incremental LearningCode1
How good is my GAN?—0
Residual Network based Aggregation Model for Skin Lesion Classification—0
Self-Paced Learning with Adaptive Deep Visual EmbeddingsCode0
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene RecognitionCode0
Recent Advances in Convolutional Neural Network Acceleration—0
Wide Contextual Residual Network with Active Learning for Remote Sensing Image ClassificationCode0
Spatial Correlation and Value Prediction in Convolutional Neural Networks—0
Multiple Convolutional Neural Network for Skin Dermoscopic Image Classification—0
Explaining Image Classifiers by Counterfactual GenerationCode0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem—0
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained RecoveryCode0
Capsule Networks against Medical Imaging Data ChallengesCode0
Invariant Information Clustering for Unsupervised Image Classification and SegmentationCode1
CBAM: Convolutional Block Attention ModuleCode0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Age Estimation Using Expectation of Label Distribution LearningCode1
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Maximizing Invariant Data Perturbation with Stochastic OptimizationCode0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations—0
Two-Layer Mixture Network Ensemble for Apparel Attributes Classification—0
With Friends Like These, Who Needs Adversaries?Code0
Variational Capsules for Image Analysis and Synthesis—0
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks—0
An Intriguing Failing of Convolutional Neural Networks and the CoordConv SolutionCode0
Domain2Vec: Deep Domain Generalization—0
Efficient Decentralized Deep Learning by Dynamic Model AveragingCode0
Adaptive Adversarial Attack on Scene Text Recognition—0
Polarimetric Convolutional Network for PolSAR Image ClassificationCode0
Improving Deep Learning through Automatic Programming—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified