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 3101–3125 of 10420 papers

TitleStatusHype
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding—0
Token Turing Machines are Efficient Vision ModelsCode0
Minimizing Embedding Distortion for Robust Out-of-Distribution Performance—0
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator—0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm—0
Seam Carving as Feature Pooling in CNN—0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values—0
Adversarial Attacks on Data AttributionCode0
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition—0
Replay Consolidation with Label Propagation for Continual Object Detection—0
Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis—0
LoCa: Logit Calibration for Knowledge Distillation—0
Activation Function Optimization Scheme for Image ClassificationCode0
Connectivity-Inspired Network for Context-Aware RecognitionCode0
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsCode0
Non-Uniform Illumination Attack for Fooling Convolutional Neural NetworksCode0
Have Large Vision-Language Models Mastered Art History?—0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised LearningCode0
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking—0
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization—0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation—0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
Evaluation and Comparison of Visual Language Models for Transportation Engineering ProblemsCode0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
Show:102550
← PrevPage 125 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