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 4276–4300 of 10420 papers

TitleStatusHype
Improving Resnet-9 Generalization Trained on Small Datasets—0
How adversarial attacks can disrupt seemingly stable accurate classifiers—0
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat—0
Multiclass Alignment of Confidence and Certainty for Network Calibration—0
Signatures of Bayesian inference emerge from energy efficient synapsesCode0
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach—0
Compressing Vision Transformers for Low-Resource Visual LearningCode0
Dynamic Early Exiting Predictive Coding Neural Networks—0
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach—0
AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW BasisCode0
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets—0
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer—0
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and ExperimentsCode0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module—0
SortedNet: A Scalable and Generalized Framework for Training Modular Deep Neural Networks—0
The Quest of Finding the Antidote to Sparse Double Descent—0
FACET: Fairness in Computer Vision Evaluation Benchmark—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
Classification robustness to common optical aberrationsCode0
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image ClassificationCode0
Hyperbolic Convolutional Neural Networks—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—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