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 2901–2950 of 10419 papers

TitleStatusHype
Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification—0
Knowledge Diffusion for DistillationCode1
clustering an african hairstyle dataset using pca and k-means—0
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial RobustnessCode0
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationCode0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
SING: A Plug-and-Play DNN Learning TechniqueCode0
Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkCode0
Triplet Knowledge Distillation—0
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Making Vision Transformers Truly Shift-Equivariant—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
Lightweight Learner for Shared Knowledge Lifelong LearningCode1
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Training on Thin Air: Improve Image Classification with Generated DataCode1
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
Dual Path Transformer with Partition Attention—0
Frequency maps reveal the correlation between Adversarial Attacks and Implicit BiasCode0
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning—0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Sorted Convolutional Network for Achieving Continuous Rotational Invariance—0
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Continual Learning with Strong Experience ReplayCode0
Efficient Multi-Scale Attention Module with Cross-Spatial LearningCode2
Impact of Light and Shadow on Robustness of Deep Neural Networks—0
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design—0
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained ModelsCode1
Detection of healthy and diseased crops in drone captured images using Deep LearningCode0
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization—0
Feasibility of Transfer Learning: A Mathematical Framework—0
Uncertainty-based Detection of Adversarial Attacks in Semantic SegmentationCode0
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher QualityCode0
Enhanced Meta Label Correction for Coping with Label CorruptionCode0
Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network—0
WOT-Class: Weakly Supervised Open-world Text ClassificationCode0
Chest X-ray Image Classification: A Causal Perspective—0
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited LearningCode0
Skin Lesion Diagnosis Using Convolutional Neural Networks—0
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional SettingsCode0
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural NetworksCode0
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
Exploring the cloud of feature interaction scores in a Rashomon set—0
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties—0
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers—0
Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars—0
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural networkCode0
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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