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 3951–3975 of 10420 papers

TitleStatusHype
Towards Sparsification of Graph Neural NetworksCode0
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning—0
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation—0
Deep learning in a bilateral brain with hemispheric specializationCode0
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling—0
RGB-X Classification for Electronics Sorting—0
Exploring Target Representations for Masked AutoencodersCode0
Sign Language Detection—0
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility ConstraintsCode1
Losing momentum in continuous-time stochastic optimisation—0
Improving plant disease classification by adaptive minimal ensembling—0
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
Responsibility: An Example-based Explainable AI approach via Training Process Inspection—0
On the Transferability of Adversarial Examples between Encrypted Models—0
What does a platypus look like? Generating customized prompts for zero-shot image classificationCode2
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19—0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification—0
TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-WorldCode0
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification—0
ViTKD: Practical Guidelines for ViT feature knowledge distillation—0
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G—0
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure—0
Imaging with Equivariant Deep Learning—0
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral 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