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 2576–2600 of 10420 papers

TitleStatusHype
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models—0
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised PretrainingCode1
Improving Performance of Semi-Supervised Learning by Adversarial Attacks—0
Distributionally Robust Classification on a Data BudgetCode0
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals—0
AFN: Adaptive Fusion Normalization via an Encoder-Decoder FrameworkCode1
Precise Benchmarking of Explainable AI Attribution MethodsCode0
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method—0
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain AdaptationCode1
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network—0
Food Classification using Joint Representation of Visual and Textual Data—0
ETran: Energy-Based Transferability EstimationCode0
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCode1
Deep Neural Networks Fused with Textures for Image Classification—0
URET: Universal Robustness Evaluation Toolkit (for Evasion)Code1
Explainable unsupervised multi-modal image registration using deep networks—0
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual PerceptionCode1
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms—0
PerceptionCLIP: Visual Classification by Inferring and Conditioning on ContextsCode1
Unlearning Spurious Correlations in Chest X-ray 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