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 2301–2350 of 10419 papers

TitleStatusHype
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification TasksCode0
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress DetectionCode0
Successive Embedding and Classification Loss for Aerial Image ClassificationCode0
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification ModelsCode0
ARMA Nets: Expanding Receptive Field for Dense PredictionCode0
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataCode0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural NetworksCode0
ISyNet: Convolutional Neural Networks design for AI acceleratorCode0
Joint Learning of Neural Networks via Iterative Reweighted Least SquaresCode0
Comparison Knowledge Translation for Generalizable Image ClassificationCode0
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning abilityCode0
Is it enough to optimize CNN architectures on ImageNet?Code0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasksCode0
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical DecisionsCode0
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature RepresentationCode0
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation ModelCode0
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm CorruptionsCode0
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest ClassificationCode0
Perceptual Evaluation of Adversarial Attacks for CNN-based Image ClassificationCode0
Invariant Shape Representation Learning For Image ClassificationCode0
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack DetectionCode0
Comparative Evaluation of Clustered Federated Learning MethodsCode0
A Group-Theoretic Framework for Data AugmentationCode0
Invariant backpropagation: how to train a transformation-invariant neural networkCode0
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical HeterogeneityCode0
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimationCode0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image ClassificationCode0
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural NetworksCode0
Compact Global Descriptor for Neural NetworksCode0
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-raysCode0
A Dynamic Reduction Network for Point CloudsCode0
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual ClassificationCode0
Compact Bilinear PoolingCode0
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image ClassificationCode0
InterpNET: Neural Introspection for Interpretable Deep LearningCode0
Interferometric Neural NetworksCode0
A Baseline for Few-Shot Image ClassificationCode0
An Intelligent Remote Sensing Image Quality Inspection SystemCode0
Interlocking Backpropagation: Improving depthwise model-parallelismCode0
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)Code0
Intra-class Patch Swap for Self-DistillationCode0
Instance Temperature Knowledge DistillationCode0
Instilling Inductive Biases with SubnetworksCode0
Network DeconvolutionCode0
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?Code0
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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