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 5701–5750 of 10420 papers

TitleStatusHype
Guiding the retraining of convolutional neural networks against adversarial inputs—0
Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification—0
Demystifying Loss Functions for Classification—0
Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images—0
Demystifying What Code Summarization Models Learned—0
Lean classical-quantum hybrid neural network model for image classification—0
Creating Scalable AGI: the Open General Intelligence Framework—0
Learning from Exemplary Explanations—0
Learning from Few Samples: A Survey—0
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification—0
LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models—0
GUIDED MCMC FOR SPARSE BAYESIAN MODELS TO DETECT RARE EVENTS IN IMAGES SANS LABELED DATA—0
Learning from Matured Dumb Teacher for Fine Generalization—0
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search—0
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators—0
Attention-Aware Noisy Label Learning for Image Classification—0
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling—0
Logit Attenuating Weight Normalization—0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window—0
Growing Efficient Deep Networks by Structured Continuous Sparsification—0
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate—0
Learning from Web Data: the Benefit of Unsupervised Object Localization—0
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks—0
Visually Consistent Hierarchical Image Classification—0
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training—0
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