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 5701–5725 of 10420 papers

TitleStatusHype
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Simple Open-Vocabulary Object Detection with Vision TransformersCode0
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent TrainingCode0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural FeaturesCode0
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With TransformersCode0
Analysis of convolutional neural network image classifiers in a rotationally symmetric model—0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
A Safety Assurable Human-Inspired Perception Architecture—0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
Privacy Enhancement for Cloud-Based Few-Shot LearningCode0
Hybrid quantum ResNet for car classification and its hyperparameter optimization—0
SmoothNets: Optimizing CNN architecture design for differentially private deep learningCode0
VPN: Verification of Poisoning in Neural Networks—0
Preservation of High Frequency Content for Deep Learning-Based Medical Image ClassificationCode0
Comparison Knowledge Translation for Generalizable Image ClassificationCode0
RCMNet: A deep learning model assists CAR-T therapy for leukemia—0
Large Scale Transfer Learning for Differentially Private Image Classification—0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
Biologically inspired deep residual networks for computer vision applications—0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object ClassificationCode0
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer—0
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification—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
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
10RevCol-HTop 1 Accuracy90—Unverified