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 1151–1175 of 10419 papers

TitleStatusHype
From pixels to planning: scale-free active inference—0
A Survey of Malware Detection Using Deep Learning—0
Local Binary Pattern(LBP) Optimization for Feature Extraction—0
VSSD: Vision Mamba with Non-Causal State Space DualityCode2
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification—0
A Scalable Quantum Non-local Neural Network for Image ClassificationCode0
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment—0
Topology Optimization of Random Memristors for Input-Aware Dynamic SNNCode0
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex NetworkCode1
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image ClassificationCode1
Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images—0
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?Code2
Unsqueeze [CLS] Bottleneck to Learn Rich RepresentationsCode0
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks—0
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?Code0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks—0
Improved Few-Shot Image Classification Through Multiple-Choice Questions—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—0
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models—0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified