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 1451–1500 of 10419 papers

TitleStatusHype
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity SynchronizationCode0
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification—0
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning—0
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification—0
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language ModelsCode0
CLIP model is an Efficient Online Lifelong LearnerCode0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
EMR-Merging: Tuning-Free High-Performance Model MergingCode2
Pre-Trained Vision-Language Models as Partial Annotators—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern GeneratorsCode2
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic SegmentationCode1
Adaptive Gradient Clipping for Robust Federated Learning—0
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
Scalable Visual State Space Model with Fractal Scanning—0
Markerless retro-identification complements re-identification of individual insect subjects in archived image data of biological experiments—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens—0
Task agnostic continual learning with Pairwise layer architectureCode0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
Just rotate it! Uncertainty estimation in closed-source models via multiple queries—0
Decentralized Federated Learning Over Imperfect Communication Channels—0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
Multimodal Adaptive Inference for Document Image Classification with Anytime Early ExitingCode0
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image ClassificationCode2
Verification technology for finger vein biometric—0
An Invisible Backdoor Attack Based On Semantic Feature—0
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch NormalizationCode2
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Towards SAR Automatic Target Recognition MultiCategory SAR Image Classification Based on Light Weight Vision Transformer—0
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models—0
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning—0
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionCode0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Many-Shot In-Context Learning in Multimodal Foundation ModelsCode2
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image DatasetCode0
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and PrivacyCode1
Improving Label Error Detection and Elimination with Uncertainty Quantification—0
Tackling Distribution Shifts in Task-Oriented Communication with Information BottleneckCode0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingCode1
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks—0
FolkTalent: Enhancing Classification and Tagging of Indian Folk Paintings—0
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
Who's in and who's out? A case study of multimodal CLIP-filtering in DataCompCode0
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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