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 5751–5800 of 10420 papers

TitleStatusHype
Multiple EffNet/ResNet Architectures for Melanoma Classification—0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—0
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification—0
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems—0
Image Data Augmentation for Deep Learning: A Survey—0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
An Extendable, Efficient and Effective Transformer-based Object Detector—0
Privacy-Preserving Image Classification Using Isotropic Network—0
Searching Intrinsic Dimensions of Vision Transformers—0
Explainable Analysis of Deep Learning Methods for SAR Image Classification—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
Relaxing Equivariance Constraints with Non-stationary Continuous Filters—0
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images—0
Out-Of-Distribution Detection In Unsupervised Continual Learning—0
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks—0
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification—0
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation—0
VisCUIT: Visual Auditor for Bias in CNN Image ClassifierCode0
Regularization-based Pruning of Irrelevant Weights in Deep Neural ArchitecturesCode0
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Machine Learning State-of-the-Art with UncertaintiesCode0
A Simple Approach to Adversarial Robustness in Few-shot Image ClassificationCode0
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
Representation Learning by Detecting Incorrect Location EmbeddingsCode0
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates—0
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks—0
Neuronal diversity can improve machine learning for physics and beyondCode0
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search—0
Does Robustness on ImageNet Transfer to Downstream Tasks?—0
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products—0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification—0
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
MixFormer: Mixing Features across Windows and DimensionsCode0
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification—0
Banana Sub-Family Classification and Quality Prediction using Computer Vision—0
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images—0
LatentGAN Autoencoder: Learning Disentangled Latent Distribution—0
How stable are Transferability Metrics evaluations?—0
Attribute Prototype Network for Any-Shot Learning—0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
Revisiting a kNN-based Image Classification System with High-capacity Storage—0
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification—0
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural NetworksCode0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications—0
Matching Feature Sets for Few-Shot Image Classification—0
Proper Reuse of Image Classification Features Improves Object Detection—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