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 426–450 of 10419 papers

TitleStatusHype
Efficient Global Neural Architecture SearchCode0
Interpretable Failure Detection with Human-Level Concepts—0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network WeightsCode0
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis—0
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
Disentangling CLIP for Multi-Object Perception—0
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors—0
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier CalibrationCode0
Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss FunctionCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models—0
Generative Data Mining with Longtail-Guided Diffusion—0
BRIDLE: Generalized Self-supervised Learning with QuantizationCode0
The Skin Game: Revolutionizing Standards for AI Dermatology Model ComparisonCode0
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification—0
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss—0
Learning Hyperparameters via a Data-Emphasized Variational ObjectiveCode0
A Framework for Double-Blind Federated Adaptation of Foundation Models—0
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security InspectionCode0
Polynomial, trigonometric, and tropical activationsCode1
Scalable Framework for Classifying AI-Generated Content Across ModalitiesCode0
A framework for river connectivity classification using temporal image processing and attention based neural networks—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