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 2651–2700 of 10419 papers

TitleStatusHype
Classification of Lung Pathologies in Neonates using Dual Tree Complex Wavelet Transform—0
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models—0
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification—0
Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers—0
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features—0
Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks—0
Adversarial AutoAugment—0
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation—0
Efficient Converted Spiking Neural Network for 3D and 2D Classification—0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning—0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection—0
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System—0
Classification of breast cancer histology images using transfer learning—0
A 1Mb mixed-precision quantized encoder for image classification and patch-based compression—0
Anticipating Future Object Compositions without Forgetting—0
Classification for everyone : Building geography agnostic models for fairer recognition—0
An Efficient Pre-processing Method to Eliminate Adversarial Effects—0
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
Classification-driven Single Image Dehazing—0
Classification-Driven Dynamic Image Enhancement—0
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits—0
Classification Driven Dynamic Image Enhancement—0
Classification-Denoising Networks—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
Effects of Auxiliary Knowledge on Continual Learning—0
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning—0
Classification and Retrieval of Digital Pathology Scans: A New Dataset—0
Adversarial attacks to image classification systems using evolutionary algorithms—0
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks—0
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses—0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches—0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness—0
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity—0
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness—0
Adversarial Attacks to Direct Data-driven Control for Destabilization—0
Effects of Image Degradations to CNN-based Image Classification—0
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification—0
A Comprehensive Review of Generative AI in Healthcare—0
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition—0
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification—0
Class-agnostic Object Detection—0
A novel statistical metric learning for hyperspectral image classification—0
Adversarial Attacks on Image Classification Models: Analysis and Defense—0
8-bit Numerical Formats for Deep Neural Networks—0
A novel spatial-frequency domain network for zero-shot incremental learning—0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
Effectiveness of Function Matching in Driving Scene Recognition—0
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning—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