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 8451–8500 of 10420 papers

TitleStatusHype
DeepPSL: End-to-end perception and reasoning—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Deep reinforced active learning for multi-class image classification—0
Deep Reinforcement Learning and its Neuroscientific Implications—0
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images—0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
Deep Reinforcement Learning using Capsules in Advanced Game Environments—0
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes—0
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning—0
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment—0
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition—0
Deep Residual Axial Networks—0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
Deep Scene Image Classification With the MFAFVNet—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Deep Self-Learning From Noisy Labels—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis—0
DeepSetNet: Predicting Sets with Deep Neural Networks—0
Deep Spatial Pyramid: The Devil is Once Again in the Details—0
Deep Supervision with Intermediate Concepts—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
Deep tensor networks with matrix product operators—0
deepTerra -- AI Land Classification Made Easy—0
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review—0
Deep Transfer Learning for Few-Shot SAR Image Classification—0
Deep transfer learning for image classification: a survey—0
Deep Transfer Learning for Person Re-identification—0
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images—0
Deep Transfer Learning: Model Framework and Error Analysis—0
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding—0
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model—0
Deep Visual Domain Adaptation—0
Deep Visual Domain Adaptation: A Survey—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Defending Adversaries Using Unsupervised Feature Clustering VAE—0
Defending Against Image Corruptions Through Adversarial Augmentations—0
Defending Against Universal Perturbations With Shared Adversarial Training—0
Post-train Black-box Defense via Bayesian Boundary Correction—0
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions—0
Defensive Tensorization—0
Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks—0
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization—0
Defining Quantum Neural Networks via Quantum Time Evolution—0
DefMamba: Deformable Visual State Space Model—0
DeformableFormer: Classification of Endoscopic Ultrasound Guided Fine Needle Biopsy in Pancreatic Diseases—0
Deformable Gabor Feature Networks for Biomedical Image Classification—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Déjà Vu Memorization in Vision-Language Models—0
Delay Differential Neural Networks—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