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 7801–7850 of 10420 papers

TitleStatusHype
Transforming task representations to perform novel tasksCode0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications—0
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors—0
Time Dependence in Non-Autonomous Neural ODEs—0
One-Shot Image Classification by Learning to Restore Prototypes—0
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration—0
LIMEtree: Consistent and Faithful Multi-class ExplanationsCode0
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique—0
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks—0
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
A Dataset for Troll Classification of TamilMemes—0
Learning from Noisy Labels with Noise Modeling Network—0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES—0
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification—0
Deepfake Video Forensics based on Transfer Learning—0
Pseudo Rehearsal using non photo-realistic images—0
Minority Reports Defense: Defending Against Adversarial Patches—0
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning ArchitecturesCode0
Identification of Cervical Pathology using Adversarial Neural Networks—0
Trainable Activation Function in Image Classification—0
Hyperspectral Images Classification Based on Multi-scale Residual Network—0
RAIN: A Simple Approach for Robust and Accurate Image Classification NetworksCode0
Quantization of Deep Neural Networks for Accumulator-constrained Processors—0
Explicit Domain Adaptation with Loosely Coupled Samples—0
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?—0
ArchNet: Data Hiding Model in Distributed Machine Learning System—0
Self-supervised Learning for Astronomical Image Classification—0
Deep Learning Classification With Noisy Labels—0
A review: Deep learning for medical image segmentation using multi-modality fusion—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning—0
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Revisiting Initialization of Neural Networks—0
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise—0
Superkernel Neural Architecture Search for Image Denoising—0
Fast Gradient Descent Algorithm for Image Classification with Neural NetworksCode0
Self-Supervised Representation Learning on Document Images—0
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning—0
Modeling Extent-of-Texture Information for Ground Terrain RecognitionCode0
LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification—0
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural NetworkCode0
Spatially Attentive Output Layer for Image Classification—0
Explainable Image Classification with Evidence Counterfactual—0
Divergent Search for Few-Shot Image Classification—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