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 226–250 of 10419 papers

TitleStatusHype
An Efficient Quantum Classifier Based on Hamiltonian RepresentationsCode0
MGS: Markov Greedy Sums for Accurate Low-Bitwidth Floating-Point Accumulation—0
A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Medical Image Classification—0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges—0
Comparative Analysis of Different Methods for Classifying Polychromatic Sketches—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
MultiCore+TPU Accelerated Multi-Modal TinyML for Livestock Behaviour Recognition—0
Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural NetworksCode1
Identifying regions of interest in whole slide images of renal cell carcinoma—0
Memory-Modular Classification: Learning to Generalize with Memory ReplacementCode0
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-GradientsCode0
Gaze-Guided Learning: Avoiding Shortcut Bias in Visual ClassificationCode0
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability—0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image ClassificationCode0
MASS: MoErging through Adaptive Subspace SelectionCode0
Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology ImagesCode0
Adaptive Classification of Interval-Valued Time Series—0
HQViT: Hybrid Quantum Vision Transformer for Image Classification—0
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection—0
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera DataCode0
Neural Style Transfer for Synthesising a Dataset of Ancient Egyptian Hieroglyphs—0
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning—0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch 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