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 176–200 of 10419 papers

TitleStatusHype
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
Show:102550
← PrevPage 8 of 417Next →
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