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 4751–4775 of 10420 papers

TitleStatusHype
ElegansNet: a brief scientific report and initial experiments—0
Patch-wise Features for Blur Image Classification—0
ImageEye: Batch Image Processing Using Program Synthesis—0
Robust Neural Architecture Search—0
MULLER: Multilayer Laplacian Resizer for VisionCode0
Efficient CNNs via Passive Filter Pruning—0
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural NetworksCode0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
Context-Aware Classification of Legal Document Pages—0
Self-Supervised Siamese Autoencoders—0
Learning to Name Classes for Vision and Language Models—0
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning—0
Multi-Class Unlearning for Image Classification via Weight Filtering—0
Adaptive Ensemble Learning: Boosting Model Performance through Intelligent Feature Fusion in Deep Neural Networks—0
Uncertainty estimation in Deep Learning for Panoptic segmentation—0
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge—0
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature ForgettingCode0
CNNs with Multi-Level Attention for Domain Generalization—0
Personalized Federated Learning with Local Attention—0
Multimodal Hyperspectral Image Classification via Interconnected Fusion—0
Resolution-Invariant Image Classification based on Fourier Neural OperatorsCode0
Predictive Heterogeneity: Measures and Applications—0
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification—0
DIME-FM: DIstilling Multimodal and Efficient Foundation Models—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