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 501–525 of 10419 papers

TitleStatusHype
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image ClassificationCode0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning—0
Practical Continual Forgetting for Pre-trained Vision ModelsCode2
Shape-Based Single Object Classification Using Ensemble Method Classifiers—0
IDEA: Image Description Enhanced CLIP-AdapterCode0
MIAFEx: An Attention-based Feature Extraction Method for Medical Image ClassificationCode0
A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition—0
deepTerra -- AI Land Classification Made Easy—0
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal UnderstandingCode2
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins—0
Balance Divergence for Knowledge Distillation—0
PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks—0
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction—0
Adaptive Noise-Tolerant Network for Image Segmentation—0
Rice Leaf Disease Detection: A Comparative Study Between CNN, Transformer and Non-neural Network Architectures—0
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive ClassifierCode0
Kolmogorov-Arnold networks for metal surface defect classification—0
Merging Feed-Forward Sublayers for Compressed TransformersCode1
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problemsCode0
TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response ScenariosCode2
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball ComputingCode0
A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field—0
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode2
A 1Mb mixed-precision quantized encoder for image classification and patch-based compression—0
Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and BenchmarksCode1
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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