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 8851–8875 of 10420 papers

TitleStatusHype
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Understanding the Impact of Label Granularity on CNN-based Image ClassificationCode0
Deep Features Analysis with Attention Networks—0
Training Neural Networks with Local Error SignalsCode0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Multi-branch fusion network for hyperspectral image classification—0
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks—0
A Survey of the Recent Architectures of Deep Convolutional Neural Networks—0
Class-Balanced Loss Based on Effective Number of SamplesCode1
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools—0
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?—0
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification—0
Generating Adversarial Perturbation with Root Mean Square Gradient—0
A Machine-Synesthetic Approach To DDoS Network Attack Detection—0
FishNet: A Versatile Backbone for Image, Region, and Pixel Level PredictionCode0
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image SegmentationCode0
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud ClassifiersCode0
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good ModelsCode0
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning—0
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasksCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time AppsCode0
Ensembles of feedforward-designed convolutional neural networks—0
Deep Neural Network Approximation Theory—0
Show:102550
← PrevPage 355 of 417Next →
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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified