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 6101–6150 of 10420 papers

TitleStatusHype
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification—0
Graph-Based Classification of Omnidirectional Images—0
Grafting Vision Transformers—0
Active Self-Semi-Supervised Learning for Few Labeled Samples—0
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers—0
Grafit: Learning fine-grained image representations with coarse labels—0
Maintaining Performance with Less Data—0
Make A Long Image Short: Adaptive Token Length for Vision Transformers—0
Make A Long Image Short: Adaptive Token Length for Vision Transformers—0
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection—0
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data—0
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks—0
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks—0
MLP-based architecture with variable length input for automatic speech recognition—0
Cost-efficient segmentation of electron microscopy images using active learning—0
Gradient Weighted Superpixels for Interpretability in CNNs—0
Atmospheric Noise-Resilient Image Classification in a Real-World Scenario: Using Hybrid CNN and Pin-GTSVM—0
Discriminative Distillation to Reduce Class Confusion in Continual Learning—0
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification—0
Making Vision Transformers Truly Shift-Equivariant—0
Mako: Semi-supervised continual learning with minimal labeled data via data programming—0
Malaria detection from RBC images using shallow Convolutional Neural Networks—0
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information—0
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization—0
Mamba base PKD for efficient knowledge compression—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Gradient Normalization & Depth Based Decay For Deep Learning—0
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification—0
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network—0
ExPLoit: Extracting Private Labels in Split Learning—0
Discriminative models for robust image classification—0
Manifold-based Test Generation for Image Classifiers—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
A Theory of PAC Learnability under Transformation Invariances—0
Gradient-EM Bayesian Meta-learning—0
Cortical microcircuits as gated-recurrent neural networks—0
Manifold regularization based on Nyström type subsampling—0
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking—0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network—0
Mapping Generative Models onto a Network of Digital Spiking Neurons—0
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space—0
Corrupted Image Modeling for Self-Supervised Visual Pre-Training—0
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks—0
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—0
A Text-Image Pair Is not Enough: Language-Vision Relation Inference with Auxiliary Modality Translation—0
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification—0
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification—0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications—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