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 2726–2750 of 10420 papers

TitleStatusHype
Efficient Model Performance Estimation via Feature Histories—0
A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food—0
A Comprehensive Literature Review on Sweet Orange Leaf Diseases—0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification—0
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms—0
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units—0
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features—0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem—0
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
Adversarial Attacks on Binary Image Recognition Systems—0
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data—0
Chest X-ray Image Classification: A Causal Perspective—0
A Novel Explainable Artificial Intelligence Model in Image Classification problem—0
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers—0
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
A Novel Deep Learning Architecture for Testis Histology Image Classification—0
Efficient Hyperparameter Importance Assessment for CNNs—0
Efficient Large Scale Video Classification—0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
Channel Pruning via Multi-Criteria based on Weight Dependency—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