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 9251–9300 of 10420 papers

TitleStatusHype
MaskConnect: Connectivity Learning by Gradient Descent—0
Influence of Image Classification Accuracy on Saliency Map EstimationCode0
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
Effects of Degradations on Deep Neural Network ArchitecturesCode0
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization—0
How good is my GAN?—0
Residual Network based Aggregation Model for Skin Lesion Classification—0
Self-Paced Learning with Adaptive Deep Visual EmbeddingsCode0
Recent Advances in Convolutional Neural Network Acceleration—0
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene RecognitionCode0
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
Capsule Networks against Medical Imaging Data ChallengesCode0
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained RecoveryCode0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem—0
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
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
Variational Capsules for Image Analysis and Synthesis—0
With Friends Like These, Who Needs Adversaries?Code0
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks—0
Adaptive Adversarial Attack on Scene Text Recognition—0
Polarimetric Convolutional Network for PolSAR Image ClassificationCode0
An Intriguing Failing of Convolutional Neural Networks and the CoordConv SolutionCode0
Domain2Vec: Deep Domain Generalization—0
Efficient Decentralized Deep Learning by Dynamic Model AveragingCode0
Improving Deep Learning through Automatic Programming—0
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification—0
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos—0
Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification—0
Uncorrelated Feature Encoding for Faster Image Style Transfer—0
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text SpacesCode0
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural NetworksCode0
Neonatal Pain Expression Recognition Using Transfer Learning—0
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays—0
Classifying neuromorphic data using a deep learning framework for image classification—0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision—0
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
Learning Longer-term Dependencies in RNNs with Auxiliary Losses—0
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification—0
D^2: Decentralized Training over Decentralized Data—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