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 7301–7325 of 10420 papers

TitleStatusHype
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning—0
Patchnet: Interpretable Neural Networks for Image Classification—0
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—0
Deep Learning Solutions for TanDEM-X-based Forest Classification—0
Patch-wise Features for Blur Image Classification—0
Inverting The Generator Of A Generative Adversarial Network—0
Inverted Semantic-Index for Image Retrieval—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Invariant Scattering Transform for Medical Imaging—0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset—0
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos—0
Deep learning pipeline for image classification on mobile phones—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks—0
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—0
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
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
Amortized Proximal Optimization—0
Invariance-Guided Feature Evolution for Few-Shot Learning—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