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 2651–2700 of 10419 papers

TitleStatusHype
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security InspectionCode0
A Framework for Double-Blind Federated Adaptation of Foundation Models—0
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss—0
Scalable Framework for Classifying AI-Generated Content Across ModalitiesCode0
Contrastive Forward-Forward: A Training Algorithm of Vision Transformer—0
A framework for river connectivity classification using temporal image processing and attention based neural networks—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification AcceleratorCode0
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification—0
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization—0
Toward Relative Positional Encoding in Spiking Transformers—0
DebugAgent: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging—0
Improving Interpretability and Accuracy in Neuro-Symbolic Rule Extraction Using Class-Specific Sparse Filters—0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
The Linear Attention Resurrection in Vision Transformer—0
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data—0
Building Efficient Lightweight CNN Models—0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition—0
Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning—0
Impact of Batch Normalization on Convolutional Network Representations—0
TLXML: Task-Level Explanation of Meta-Learning via Influence Functions—0
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST—0
Feasible LearningCode0
Geometric Mean Improves Loss For Few-Shot Learning—0
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility—0
Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination—0
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning—0
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters—0
Making Reliable and Flexible Decisions in Long-tailed ClassificationCode0
SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural NetworksCode0
Attribute-based Visual Reprogramming for Image Classification with CLIPCode0
Regularizing cross entropy loss via minimum entropy and K-L divergenceCode0
Atmospheric Noise-Resilient Image Classification in a Real-World Scenario: Using Hybrid CNN and Pin-GTSVM—0
Multi-aspect Knowledge Distillation with Large Language ModelCode0
Estimating the Conformal Prediction Threshold from Noisy LabelsCode0
Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples—0
Revisiting Data Augmentation for Ultrasound ImagesCode0
Early Detection and Classification of Breast Cancer Using Deep Learning Techniques—0
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination—0
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification—0
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model—0
KPL: Training-Free Medical Knowledge Mining of Vision-Language ModelsCode0
Image Classification Method using Dynamic Quantum Inspired Genetic Algorithm—0
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual LearningCode0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning—0
Visual RAG: Expanding MLLM visual knowledge without fine-tuning—0
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification—0
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras—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