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

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Showing 1151–1200 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
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification—0
VSSD: Vision Mamba with Non-Causal State Space DualityCode2
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
Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images—0
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image ClassificationCode1
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
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Improved Few-Shot Image Classification Through Multiple-Choice Questions—0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models—0
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataCode0
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image ClassificationCode0
Assessing Sample Quality via the Latent Space of Generative ModelsCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
Subgraph Clustering and Atom Learning for Improved Image Classification—0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency—0
CoAPT: Context Attribute words for Prompt Tuning—0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression—0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification—0
GroupMamba: Efficient Group-Based Visual State Space ModelCode2
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification—0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
LookupViT: Compressing visual information to a limited number of tokens—0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
Non-parametric regularization for class imbalance federated medical image classificationCode0
Siamese Transformer Networks for Few-shot Image Classification—0
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification TaskCode1
Generalized Coverage for More Robust Low-Budget Active Learning—0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification—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