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 2401–2450 of 10419 papers

TitleStatusHype
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models—0
NeuRN: Neuro-inspired Domain Generalization for Image Classification—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Active Learning for Multi-class Image Classification—0
Matrix Is All You Need—0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Achieving 3D Attention via Triplet Squeeze and Excitation Block—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Adapting a Segmentation Foundation Model for Medical Image Classification—0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology—0
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language ModelsCode0
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural NetworksCode0
Direct Image Classification from Fourier Ptychographic Microscopy Measurements without Reconstruction—0
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network ModelsCode0
Label-efficient Single Photon Images Classification via Active Learning—0
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated LearningCode0
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control—0
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models—0
Bayesian Robust Aggregation for Federated LearningCode0
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification—0
TActiLE: Tiny Active LEarning for wearable devices—0
DS_FusionNet: Dynamic Dual-Stream Fusion with Bidirectional Knowledge Distillation for Plant Disease RecognitionCode0
Reinforcement Learning-Based Heterogeneous Multi-Task Optimization in Semantic Broadcast Communications—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs—0
Swapped Logit Distillation via Bi-level Teacher AlignmentCode0
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction—0
DIVE: Inverting Conditional Diffusion Models for Discriminative TasksCode0
Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks—0
Group Downsampling with Equivariant Anti-aliasingCode0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
A Diff-Attention Aware State Space Fusion Model for Remote Sensing ClassificationCode0
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification—0
An Effective Gram Matrix Characterizes Generalization in Deep Networks—0
A Basic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm—0
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks—0
Application of Sensitivity Analysis Methods for Studying Neural Network Models—0
What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale—0
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image ClassificationCode0
ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification—0
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework—0
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration—0
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models—0
Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification—0
Show:102550
← PrevPage 49 of 209Next →
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