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 151–200 of 10419 papers

TitleStatusHype
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting—0
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification—0
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets—0
MoKD: Multi-Task Optimization for Knowledge Distillation—0
Convolutional Spiking Neural Network for Image Classification—0
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells—0
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models—0
Synthetic Similarity Search in Automotive Production—0
Matrix Is All You Need—0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Active Learning for Multi-class Image Classification—0
NeuRN: Neuro-inspired Domain Generalization for Image Classification—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Achieving 3D Attention via Triplet Squeeze and Excitation Block—0
Adapting a Segmentation Foundation Model for Medical Image Classification—0
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology—0
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network ModelsCode0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural NetworksCode0
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language ModelsCode0
Direct Image Classification from Fourier Ptychographic Microscopy Measurements without Reconstruction—0
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency—0
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated LearningCode0
Label-efficient Single Photon Images Classification via Active Learning—0
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—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
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Swapped Logit Distillation via Bi-level Teacher AlignmentCode0
Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information AnalysisCode2
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction—0
Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks—0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
DIVE: Inverting Conditional Diffusion Models for Discriminative TasksCode0
Group Downsampling with Equivariant Anti-aliasingCode0
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 Diff-Attention Aware State Space Fusion Model for Remote Sensing ClassificationCode0
A Basic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm—0
Application of Sensitivity Analysis Methods for Studying Neural Network Models—0
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image ClassificationCode0
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified