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

Showing 35013525 of 10420 papers

TitleStatusHype
Stochastic Online Conformal Prediction with Semi-Bandit Feedback0
Task agnostic continual learning with Pairwise layer architectureCode0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification0
Just rotate it! Uncertainty estimation in closed-source models via multiple queries0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification0
Decentralized Federated Learning Over Imperfect Communication Channels0
Multimodal Adaptive Inference for Document Image Classification with Anytime Early ExitingCode0
An Invisible Backdoor Attack Based On Semantic Feature0
Verification technology for finger vein biometric0
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models0
Towards SAR Automatic Target Recognition MultiCategory SAR Image Classification Based on Light Weight Vision Transformer0
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionCode0
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning0
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image DatasetCode0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification0
Improving Label Error Detection and Elimination with Uncertainty Quantification0
Tackling Distribution Shifts in Task-Oriented Communication with Information BottleneckCode0
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
FolkTalent: Enhancing Classification and Tagging of Indian Folk Paintings0
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks0
On-device Online Learning and Semantic Management of TinyML SystemsCode0
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent0
Who's in and who's out? A case study of multimodal CLIP-filtering in DataCompCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified