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 6701–6725 of 10420 papers

TitleStatusHype
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation—0
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images—0
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors—0
Multi-task Learning on MNIST Image Datasets—0
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes—0
Multi-Task Multicriteria Hyperparameter Optimization—0
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification—0
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models—0
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers—0
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection—0
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization—0
Generating Adversarial Perturbation with Root Mean Square Gradient—0
Multi-view Feature Augmentation with Adaptive Class Activation Mapping—0
Multi-View Matrix Completion for Multi-Label Image Classification—0
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
A Survey on Contrastive Self-supervised Learning—0
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification—0
Active Learning for Noisy Data Streams Using Weak and Strong Labelers—0
Contrast R-CNN for Continual Learning in Object Detection—0
A Systematic Review of Generalization Research in Medical Image Classification—0
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid—0
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections—0
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems—0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical 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
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