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 7376–7400 of 10420 papers

TitleStatusHype
PIAT: Parameter Interpolation based Adversarial Training for Image Classification—0
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks—0
ClickBAIT-v2: Training an Object Detector in Real-Time—0
Piecewise Strong Convexity of Neural Networks—0
Vera Verto: Multimodal Hijacking Attack—0
AGAN: Towards Automated Design of Generative Adversarial Networks—0
Pipelined Backpropagation at Scale: Training Large Models without Batches—0
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification—0
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
Context aware saliency map generation using semantic segmentation—0
Associating Grasp Configurations with Hierarchical Features in Convolutional Neural Networks—0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks—0
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification—0
Precision-Weighted Federated Learning—0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene—0
Pixel-level Correspondence for Self-Supervised Learning from Video—0
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters—0
Context-Aware Multipath Networks—0
Fractional Wavelet Scattering Network and Applications—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks—0
Place recognition: An Overview of Vision Perspective—0
Context-aware deep model compression for edge cloud computing—0
Show:102550
← PrevPage 296 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
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