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 4526–4550 of 10420 papers

TitleStatusHype
Alternating Multi-bit Quantization for Recurrent Neural Networks—0
Deep Domain Generalization with Feature-norm Network—0
Deep Discriminative Learning for Unsupervised Domain Adaptation—0
Auxiliary Image Regularization for Deep CNNs with Noisy Labels—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Deep Dependency Networks for Multi-Label Classification—0
Auxiliary Class Based Multiple Choice Learning—0
Deep Degradation Prior for Low-Quality Image Classification—0
Deep Decision Network for Multi-Class Image Classification—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
Deep Curriculum Learning for PolSAR Image Classification—0
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning—0
Auto-view contrastive learning for few-shot image recognition—0
Auto-tuning TensorFlow Threading Model for CPU Backend—0
Image Colorization Using a Deep Convolutional Neural Network—0
Deep Convolutional Spiking Neural Networks for Image Classification—0
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification—0
Image Colorization By Capsule Networks—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Data Augmentation for Deep Learning: A Survey—0
AutoSampling: Search for Effective Data Sampling Schedules—0
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—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