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 6226–6250 of 10420 papers

TitleStatusHype
Adversarial Attack across Datasets—0
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers—0
Transform and Bitstream Domain Image Classification—0
Dynamic Inference with Neural Interpreters—0
Bio-inspired learnable divisive normalization for ANNs—0
Balancing Average and Worst-case Accuracy in Multitask Learning—0
CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning—0
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks—0
A Closer Look at Prototype Classifier for Few-shot Image Classification—0
Semi-Supervised Auto-Encoder Graph Network for Diabetic Retinopathy Grading—0
Learnable Adaptive Cosine Estimator (LACE) for Image ClassificationCode0
Instance-based Label Smoothing For Better Calibrated Classification NetworksCode0
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules—0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching—0
DenseNet approach to segmentation and classification of dermatoscopic skin lesions imagesCode0
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification—0
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP—0
PAC Synthesis of Machine Learning Programs—0
Observations on K-image Expansion of Image-Mixing Augmentation for ClassificationCode0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking—0
ViDT: An Efficient and Effective Fully Transformer-based Object Detector—0
MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification—0
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product 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
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