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 3651–3675 of 10420 papers

TitleStatusHype
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
FLVoogd: Robust And Privacy Preserving Federated Learning—0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning—0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images—0
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance—0
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification—0
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification—0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device—0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
Detection Booster Training: A detection booster training method for improving the accuracy of classifiers.—0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Show:102550
← PrevPage 147 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