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 7501–7550 of 10420 papers

TitleStatusHype
One Weight Bitwidth to Rule Them All—0
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory—0
Robustness and Overfitting Behavior of Implicit Background ModelsCode0
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics—0
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples—0
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks—0
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images—0
iCaps: An Interpretable Classifier via Disentangled Capsule Networks—0
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification—0
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentCode0
Learning Connectivity of Neural Networks from a Topological Perspective—0
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images—0
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule NetworksCode0
Source Free Domain Adaptation with Image Translation—0
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—0
Single-Photon Image Classification—0
Network Architecture Search for Domain Adaptation—0
Can weight sharing outperform random architecture search? An investigation with TuNAS—0
Deep Networks with Fast Retraining—0
A statistical theory of cold posteriors in deep neural networks—0
FATNN: Fast and Accurate Ternary Neural Networks—0
Null-sampling for Interpretable and Fair RepresentationsCode0
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural NetworksCode0
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network—0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
Feature Space Augmentation for Long-Tailed Data—0
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks—0
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions—0
Learning CNN filters from user-drawn image markers for coconut-tree image classification—0
HASeparator: Hyperplane-Assisted Softmax—0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
An Aggregate Method for Thorax Diseases ClassificationCode0
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models—0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Structured Convolutions for Efficient Neural Network Design—0
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia—0
Assisted Perception: Optimizing Observations to Communicate StateCode0
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task—0
A non-discriminatory approach to ethical deep learning—0
Memory Efficient Class-Incremental Learning for Image Classification—0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations—0
Feature Normalized Knowledge Distillation for Image ClassificationCode0
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning—0
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation—0
Two Stream Active Query Suggestion for Active Learning in Connectomics—0
L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks—0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification—0
Learning to Rank for Active Learning: A Listwise Approach—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