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 7326–7350 of 10420 papers

TitleStatusHype
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification—0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
Invariance vs Robustness of Neural Networks—0
Deep Learning is Robust to Massive Label Noise—0
Bag of Tricks with Quantized Convolutional Neural Networks for image classification—0
Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers—0
PECAN: A Deterministic Certified Defense Against Backdoor Attacks—0
Amortized Proximal Optimization—0
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network—0
Invariance-Guided Feature Evolution for Few-Shot Learning—0
Deep Learning in the Automotive Industry: Applications and Tools—0
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification—0
Intrusion Detection: Machine Learning Baseline Calculations for Image Classification—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
Introspection for convolutional automatic speech recognition—0
Introduction to Camera Pose Estimation with Deep Learning—0
Introducing the structural bases of typicality effects in deep learning—0
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data—0
Introducing Fuzzy Layers for Deep Learning—0
Robustness via Deep Low-Rank Representations—0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations—0
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs—0
Intra-Model Collaborative Learning of Neural Networks—0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design—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