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 7526–7550 of 10420 papers

TitleStatusHype
Feature Space Augmentation for Long-Tailed Data—0
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks—0
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions—0
Learning CNN filters from user-drawn image markers for coconut-tree image classification—0
HASeparator: Hyperplane-Assisted Softmax—0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
An Aggregate Method for Thorax Diseases ClassificationCode0
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models—0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Structured Convolutions for Efficient Neural Network Design—0
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia—0
Assisted Perception: Optimizing Observations to Communicate StateCode0
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task—0
A non-discriminatory approach to ethical deep learning—0
Memory Efficient Class-Incremental Learning for Image Classification—0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations—0
Feature Normalized Knowledge Distillation for Image ClassificationCode0
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning—0
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation—0
Two Stream Active Query Suggestion for Active Learning in Connectomics—0
L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks—0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification—0
Learning to Rank for Active Learning: A Listwise Approach—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