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 2601–2650 of 10419 papers

TitleStatusHype
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba—0
Steganographic Embeddings as an Effective Data AugmentationCode0
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving—0
Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications—0
Stochastic Resonance Improves the Detection of Low Contrast Images in Deep Learning Models—0
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image ClassificationCode0
Benchmarking MedMNIST dataset on real quantum hardware—0
RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image ClassificationCode0
Compress image to patches for Vision TransformerCode0
Simplifying DINO via Coding Rate Regularization—0
On Space Folds of ReLU Neural Networks—0
SeWA: Selective Weight Average via Probabilistic Masking—0
Evaluating the Performance of TAAF for image classification modelsCode0
Feature-based Graph Attention Networks Improve Online Continual Learning—0
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification—0
Knowledge Swapping via Learning and UnlearningCode0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification—0
Keep your distance: learning dispersed embeddings on S_m—0
Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers—0
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks—0
From Image to Video: An Empirical Study of Diffusion Representations—0
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation—0
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object DetectionCode0
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated LearningCode0
Provably Near-Optimal Federated Ensemble Distillation with Negligible OverheadCode0
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks—0
Efficient Global Neural Architecture SearchCode0
Interpretable Failure Detection with Human-Level Concepts—0
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network WeightsCode0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors—0
Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss FunctionCode0
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier CalibrationCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
Disentangling CLIP for Multi-Object Perception—0
BRIDLE: Generalized Self-supervised Learning with QuantizationCode0
The Skin Game: Revolutionizing Standards for AI Dermatology Model ComparisonCode0
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification—0
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models—0
Generative Data Mining with Longtail-Guided Diffusion—0
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security InspectionCode0
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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