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 2501–2525 of 10420 papers

TitleStatusHype
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Diffusion models applied to skin and oral cancer classification—0
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep ModelsCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Neural Architecture Search by Learning a Hierarchical Search Space—0
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesCode0
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection—0
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting ModelsCode0
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception—0
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models—0
Extensions of regret-minimization algorithm for optimal design—0
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification—0
Face Spoofing Detection using Deep LearningCode0
Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation—0
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image ClassificationCode0
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry—0
Leveraging Text-to-Image Generation for Handling Spurious Correlation—0
CoRLD: Contrastive Representation Learning Of Deformable Shapes In ImagesCode0
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image ClassificationCode0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
ARC: Anchored Representation Clouds for High-Resolution INR ClassificationCode0
Test-Time Backdoor Detection for Object Detection Models—0
Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image ClassificationCode0
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision—0
GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation—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