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 2701–2750 of 10419 papers

TitleStatusHype
A Comparative Analysis on Bangla Handwritten Digit Recognition with Data Augmentation and Non-Augmentation ProcessCode0
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball ComputingCode0
Byzantine-Robust Aggregation for Securing Decentralized Federated LearningCode0
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class CentroidsCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
BViT: Broad Attention based Vision TransformerCode0
GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric CancerCode0
A Direct Approach to Robust Deep Learning Using Adversarial NetworksCode0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Efficient Ladder-style DenseNets for Semantic Segmentation of Large ImagesCode0
Building Optimal Neural Architectures using Interpretable KnowledgeCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Understanding Intrinsic Robustness Using Label UncertaintyCode0
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual IllusionCode0
Invariant backpropagation: how to train a transformation-invariant neural networkCode0
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human ExpertsCode0
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet CategoriesCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsCode0
A Differentiable Distance Approximation for Fairer Image ClassificationCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingCode0
A Diff-Attention Aware State Space Fusion Model for Remote Sensing ClassificationCode0
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical EnergyCode0
BRIDLE: Generalized Self-supervised Learning with QuantizationCode0
A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus DetectionCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning SystemsCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
Improving robustness to corruptions with multiplicative weight perturbationsCode0
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
A Coefficient Makes SVRG EffectiveCode0
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samplesCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Breast cancer image classification on WSI with spatial correlationsCode0
A Deep Neuro-Fuzzy Network for Image ClassificationCode0
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic DataCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image ClassificationCode0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified