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 3151–3175 of 10420 papers

TitleStatusHype
Data downlink prioritization using image classification on-board a 6U CubeSat—0
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification—0
Uncertainties of Latent Representations in Computer Vision—0
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules—0
On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise—0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective—0
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights—0
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision FusionCode0
Optimal Layer Selection for Latent Data Augmentation—0
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial IntelligenceCode0
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling—0
Symmetric masking strategy enhances the performance of Masked Image Modeling—0
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language ModelsCode0
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
Whole Slide Image Classification of Salivary Gland Tumours—0
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network—0
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification—0
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessCode0
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning—0
SBDet: A Symmetry-Breaking Object Detector via Relaxed Rotation-Equivariance—0
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond—0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
Cervical Cancer Detection Using Multi-Branch Deep Learning Model—0
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—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