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 1701–1725 of 10420 papers

TitleStatusHype
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images—0
Tensor network compressibility of convolutional models—0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection—0
Leveraging feature communication in federated learning for remote sensing image classification—0
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
Building Optimal Neural Architectures using Interpretable KnowledgeCode0
SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image ClassificationCode0
Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs—0
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images—0
SEVEN: Pruning Transformer Model by Reserving SentinelsCode0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language ModelsCode1
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature RepresentationCode0
A Systematic Review of Generalization Research in Medical Image Classification—0
Posterior Uncertainty Quantification in Neural Networks using Data AugmentationCode0
Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks—0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting—0
Better (pseudo-)labels for semi-supervised instance segmentation—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