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 2976–3000 of 10420 papers

TitleStatusHype
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-TuningCode0
Performance of Gaussian Mixture Model Classifiers on Embedded Feature SpacesCode0
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"Code0
Augmentation Policy Generation for Image Classification Using Large Language Models—0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look—0
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network—0
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet AccuracyCode0
Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based AggregationCode0
SkillAggregation: Reference-free LLM-Dependent Aggregation—0
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep ModelsCode0
big.LITTLE Vision Transformer for Efficient Visual Recognition—0
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning—0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?—0
Towards Better Multi-head Attention via Channel-wise Sample PermutationCode0
Towards a More Complete Theory of Function Preserving Transforms—0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning—0
Understanding Robustness of Parameter-Efficient Tuning for Image ClassificationCode0
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
Deep Transfer Learning: Model Framework and Error Analysis—0
Efficient Hyperparameter Importance Assessment for CNNs—0
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks—0
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP—0
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images—0
Show:102550
← PrevPage 120 of 417Next →
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