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 3676–3700 of 10420 papers

TitleStatusHype
Do not trust what you trust: Miscalibration in Semi-supervised LearningCode0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion—0
Tensor network compressibility of convolutional models—0
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images—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
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention—0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Leveraging feature communication in federated learning for remote sensing image classification—0
Building Optimal Neural Architectures using Interpretable KnowledgeCode0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection—0
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
SEVEN: Pruning Transformer Model by Reserving SentinelsCode0
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images—0
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting—0
Posterior Uncertainty Quantification in Neural Networks using Data AugmentationCode0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Better (pseudo-)labels for semi-supervised instance segmentation—0
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature RepresentationCode0
A Systematic Review of Generalization Research in Medical Image Classification—0
Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks—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