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 1501–1525 of 10420 papers

TitleStatusHype
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
MambaOut: Do We Really Need Mamba for Vision?Code7
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin DynamicsCode0
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent—0
GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationCode0
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
On-device Online Learning and Semantic Management of TinyML SystemsCode0
Differentiable Model Scaling using Differentiable TopkCode1
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus ImagesCode1
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable PromptCode1
Dual-Task Vision Transformer for Rapid and Accurate Intracerebral Hemorrhage CT Image ClassificationCode0
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNsCode2
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data—0
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksCode0
Deep Multi-Task Learning for Malware Image Classification—0
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature AttributionCode1
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer ClassificationCode0
VMambaCC: A Visual State Space Model for Crowd Counting—0
Feature Map Convergence Evaluation for Functional Module—0
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects—0
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs—0
TED: Accelerate Model Training by Internal Generalization—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—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