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 6451–6500 of 10420 papers

TitleStatusHype
An Attention Module for Convolutional Neural Networks—0
Confidence Adaptive Regularization for Deep Learning with Noisy Labels—0
Federated Multi-Target Domain Adaptation—0
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory—0
Scaling Laws for Deep Learning—0
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting—0
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification TasksCode0
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—0
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning—0
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems—0
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial ImagesCode0
Online Continual Learning For Visual Food Classification—0
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications—0
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devicesCode0
Logit Attenuating Weight Normalization—0
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization OpportunitiesCode0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Learning from Matured Dumb Teacher for Fine Generalization—0
m-RevNet: Deep Reversible Neural Networks with Momentum—0
Is Differentiable Architecture Search truly a One-Shot Method?—0
Reinforcement Learning Approach to Active Learning for Image Classification—0
Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture LearningCode0
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound—0
Discriminative Distillation to Reduce Class Confusion in Continual Learning—0
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks—0
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural NetworksCode0
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data—0
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean—0
Knowledge accumulating: The general pattern of learning—0
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation—0
WideCaps: A Wide Attention based Capsule Network for Image Classification—0
Membership Inference Attacks on Lottery Ticket NetworksCode0
Impact of Aliasing on Generalization in Deep Convolutional Networks—0
The Influence of Age and Gender Information on the Diagnosis of Diabetic Retinopathy: Based on Neural Networks—0
Auxiliary Class Based Multiple Choice Learning—0
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding—0
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications—0
Deep Neural Networks and PIDE discretizations—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Using Metamorphic Relations to Verify and Enhance Artcode Classification—0
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning—0
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints—0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis—0
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research—0
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear MicrophoneCode0
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—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