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 5401–5450 of 10420 papers

TitleStatusHype
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
Is Pretraining Necessary for Hyperspectral Image Classification?—0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Balancing the Causal Effects in Class-Incremental Learning—0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
AdaFamily: A family of Adam-like adaptive gradient methods—0
Iterative Averaging in the Quest for Best Test Error—0
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays—0
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
Learning Representation in Colour Conversion—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—0
Iterative Quantum Feature Maps—0
Hidden Classification Layers: Enhancing linear separability between classes in neural networks layers—0
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy—0
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification—0
HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers—0
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
Jacobian Descent for Multi-Objective Optimization—0
Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification—0
AI of Brain and Cognitive Sciences: From the Perspective of First Principles—0
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization—0
Deep Multi-Task Learning for Malware Image Classification—0
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification—0
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes—0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Deep Multi-view Models for Glitch Classification—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Learning Representations of Graph Data -- A Survey—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis—0
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—0
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods—0
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling—0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification—0
Heterogeneous Federated Learning Using Knowledge Codistillation—0
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation—0
Cross-filter compression for CNN inference acceleration—0
Just rotate it! Uncertainty estimation in closed-source models via multiple queries—0
Hermitry Ratio: Evaluating the validity of perturbation methods for explainable deep learning—0
Cross-Domain Sparse Coding—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation—0
Learning rich optical embeddings for privacy-preserving lensless 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