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 4176–4200 of 10420 papers

TitleStatusHype
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification—0
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions—0
Post-train Black-box Defense via Bayesian Boundary Correction—0
Benchmarking MedMNIST dataset on real quantum hardware—0
Defending Against Universal Perturbations With Shared Adversarial Training—0
Analysis Dictionary Learning: An Efficient and Discriminative Solution—0
Adaptive sampling for scanning pixel cameras—0
Benchmarking Inference Performance of Deep Learning Models on Analog Devices—0
Defending Against Image Corruptions Through Adversarial Augmentations—0
Benchmarking FedAvg and FedCurv for Image Classification Tasks—0
Defending Adversaries Using Unsupervised Feature Clustering VAE—0
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification—0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification—0
Hilbert Curve Based Molecular Sequence Analysis—0
How do Convolutional Neural Networks Learn Design?—0
HQViT: Hybrid Quantum Vision Transformer for Image Classification—0
Hyperspectral Images Classification Based on Multi-scale Residual Network—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Deep Visual Domain Adaptation: A Survey—0
Deep Visual Domain Adaptation—0
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification—0
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model—0
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning—0
Benchmarking Adversarial Robustness—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