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 5726–5750 of 10420 papers

TitleStatusHype
A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Medical Image Classification—0
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network—0
Learning Identity Mappings with Residual Gates—0
Learning Image Conditioned Label Space for Multilabel Classification—0
Learning image quality assessment by reinforcing task amenable data selection—0
Tag-based Semantic Features for Scene Image Classification—0
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses—0
AC-VAE: Learning Semantic Representation with VAE for Adaptive Clustering—0
Multi-task Supervised Learning via Cross-learning—0
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties—0
A Classification Leveraged Object Detector—0
Group Sparse Coding—0
Learning Interpretable Logic Rules from Deep Vision Models—0
CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data—0
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit—0
Group Invariant Deep Representations for Image Instance Retrieval—0
Learning Invariances in Neural Networks from Training Data—0
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
Learning Invariant Riemannian Geometric Representations Using Deep Nets—0
Dependency Decomposition and a Reject Option for Explainable Models—0
CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning—0
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification—0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—0
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective—0
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances—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