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

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Showing 5501–5550 of 10420 papers

TitleStatusHype
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision—0
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic SegmentationCode0
Shifted Chunk Transformer for Spatio-Temporal Representational Learning—0
Robust Long-Tailed Learning under Label Noise—0
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection—0
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks—0
NGC: A Unified Framework for Learning with Open-World Noisy Data—0
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization—0
Auxiliary Task Update Decomposition: The Good, The Bad and The NeutralCode0
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityCode1
Improving Object Detection by Label Assignment DistillationCode1
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image ClassificationCode0
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image ClassificationCode0
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
Fusion of evidential CNN classifiers for image classification—0
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices—0
Spatial Transformer Networks for Curriculum Learning—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning—0
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification—0
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature TransformCode1
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function—0
Semi-supervised learning for medical image classification using imbalanced training data—0
Early-exit deep neural networks for distorted images: providing an efficient edge offloadingCode0
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image ClassifierCode1
Comparing concepts of quantum and classical neural network models for image classification task—0
Do Vision Transformers See Like Convolutional Neural Networks?Code1
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks—0
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
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification TasksCode0
spectrai: A deep learning framework for spectral dataCode1
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—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
Contextual Convolutional Neural NetworksCode1
Scaling Laws for Deep Learning—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
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial ImagesCode0
Online Continual Learning For Visual Food Classification—0
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications—0
EEEA-Net: An Early Exit Evolutionary Neural Architecture SearchCode1
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devicesCode0
Reinforcement Learning Approach to Active Learning for Image Classification—0
Learning from Matured Dumb Teacher for Fine Generalization—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