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 2326–2350 of 10420 papers

TitleStatusHype
Subspace Adaptation Prior for Few-Shot LearningCode0
PaLI-3 Vision Language Models: Smaller, Faster, StrongerCode1
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks—0
Self-supervised visual learning for analyzing firearms trafficking activities on the Web—0
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
Strategies and impact of learning curve estimation for CNN-based image classification—0
AutoVP: An Automated Visual Prompting Framework and BenchmarkCode1
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks—0
DualAug: Exploiting Additional Heavy Augmentation with OOD Data RejectionCode0
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional VisualizationsCode0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—0
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configurationCode0
Human-Centered Evaluation of XAI Methods—0
Efficient Adaptation of Large Vision Transformer via Adapter Re-ComposingCode1
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real ImagesCode0
Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox—0
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural NetworkCode0
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Text-driven Prompt Generation for Vision-Language Models in Federated Learning—0
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
Unleashing the power of Neural Collapse for Transferability Estimation—0
What do larger image classifiers memorise?—0
Transformer Fusion with Optimal TransportCode1
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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