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

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Showing 8201–8250 of 10420 papers

TitleStatusHype
Image Recognition using Region Creep—0
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification—0
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Improving Evaluation of Debiasing in Image Classification—0
ImageNet MPEG-7 Visual Descriptors - Technical Report—0
DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification—0
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification—0
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique—0
Image Moment Invariants to Rotational Motion Blur—0
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images—0
Image Labeling on a Network: Using Social-Network Metadata for Image Classification—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
ImageEye: Batch Image Processing Using Program Synthesis—0
DCTNet : A Simple Learning-free Approach for Face Recognition—0
Image edge enhancement for effective image classification—0
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
Adaptive Adversarial Attack on Scene Text Recognition—0
Access Control of Object Detection Models Using Encrypted Feature Maps—0
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks—0
Image Data Augmentation for Deep Learning: A Survey—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Colorization Using a Deep Convolutional Neural Network—0
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients—0
Image Colorization By Capsule Networks—0
Image Class Translation Distance: A Novel Interpretable Feature for Image Classification—0
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation—0
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Image Classification with Rejection using Contextual Information—0
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects—0
Image Classification with Deep Reinforcement Active Learning—0
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation—0
Image Classification with Consistent Supporting Evidence—0
CNN depth analysis with different channel inputs for Acoustic Scene Classification—0
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification—0
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix—0
Image Classification with A Deep Network Model based on Compressive Sensing—0
Image Classification via Quantum Machine Learning—0
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet—0
Image Classification using Sequence of Pixels—0
Image classification using quantum inference on the D-Wave 2X—0
Image classification using local tensor singular value decompositions—0
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels—0
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths—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