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 3026–3050 of 10420 papers

TitleStatusHype
A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental SafetyCode0
Selective Transformer for Hyperspectral Image Classification—0
Hard Negative Sample Mining for Whole Slide Image ClassificationCode0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions—0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization—0
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model—0
Rethinking VLMs and LLMs for Image Classification—0
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups—0
Personalized Quantum Federated Learning for Privacy Image Classification—0
Kolmogorov-Arnold Network AutoencodersCode0
NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion ModelsCode0
Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading—0
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-TimeCode0
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator—0
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCACode0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients—0
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision TransformersCode0
Satellite image classification with neural quantum kernels—0
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image ClassificationCode0
Learning to Obstruct Few-Shot Image Classification over Restricted ClassesCode0
Cauchy activation function and XNet—0
On the universality of neural encodings in CNNs—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
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