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 4401–4425 of 10420 papers

TitleStatusHype
Towards a Visual-Language Foundation Model for Computational Pathology—0
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance—0
Concept-based explainability for an EEG transformer modelCode0
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment—0
Sparse then Prune: Toward Efficient Vision TransformersCode0
An Intelligent Remote Sensing Image Quality Inspection SystemCode0
Post-variational quantum neural networks—0
Quantized Feature Distillation for Network Quantization—0
Deep learning for classification of noisy QR codes—0
The importance of feature preprocessing for differentially private linear optimization—0
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition—0
Attacking by Aligning: Clean-Label Backdoor Attacks on Object DetectionCode0
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier DomainCode0
Confidence Estimation Using Unlabeled DataCode0
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut—0
Human Action Recognition in Still Images Using ConViT—0
Linearized Relative Positional EncodingCode0
Promoting Exploration in Memory-Augmented Adam using Critical MomentaCode0
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image ClassificationCode0
Does Visual Pretraining Help End-to-End Reasoning?—0
Multi-Domain Learning with Modulation Adapters—0
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation—0
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group ConvolutionCode0
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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