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 3326–3350 of 10420 papers

TitleStatusHype
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification—0
Differentially Private Meta-Learning—0
Ancient Coin Classification Using Graph Transduction Games—0
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates—0
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification—0
Fall Leaf Adversarial Attack on Traffic Sign Classification—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Dynamic Shuffle: An Efficient Channel Mixture Method—0
Dynamic Spectrum Mixer for Visual Recognition—0
Differentially Private Federated Learning via Inexact ADMM—0
Topology-aware Differential Privacy for Decentralized Image Classification—0
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers—0
Early Detection and Classification of Breast Cancer Using Deep Learning Techniques—0
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification—0
Fine-grained Image Classification by Exploring Bipartite-Graph Labels—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
Fantope Regularization in Metric Learning—0
Differentiable Search for Finding Optimal Quantization Strategy—0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Biologically inspired deep residual networks for computer vision applications—0
Eating Habits Discovery in Egocentric Photo-streams—0
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification—0
Anchor Cascade for Efficient Face Detection—0
Show:102550
← PrevPage 134 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
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