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 36263650 of 10420 papers

TitleStatusHype
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in EcologyCode0
Automatic Recognition of Learning Resource Category in a Digital LibraryCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Automatic Open-World Reliability AssessmentCode0
Automatic location detection based on deep learningCode0
Deep Asymmetric Multi-task Feature LearningCode0
Image Classification with Classic and Deep Learning TechniquesCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Image Classification with Hierarchical Multigraph NetworksCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
EPIC: Explanation of Pretrained Image Classification Networks via PrototypeCode0
Deep Adaptive Wavelet NetworkCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
[Re] A Reproduction of Ensemble Distribution DistillationCode0
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image ClassificationCode0
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
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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