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 3876–3900 of 10420 papers

TitleStatusHype
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification—0
Combined convolutional and recurrent neural networks for hierarchical classification of images—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Extending Class Activation Mapping Using Gaussian Receptive Field—0
Extensions of regret-minimization algorithm for optimal design—0
Extracting Human Attention through Crowdsourced Patch Labeling—0
Combined Scaling for Zero-shot Transfer Learning—0
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?—0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution—0
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models—0
Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification—0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Combinets: Creativity via Recombination of Neural Networks—0
Extreme Network Compression via Filter Group Approximation—0
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification—0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation—0
Face Clustering: Representation and Pairwise Constraints—0
Face Identification with Second-Order Pooling—0
Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks—0
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning—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