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 7351–7400 of 10420 papers

TitleStatusHype
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach—0
Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification—0
Performing Image Classification for 10 Different Monkey Species using CNN—0
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
Frequency Disentangled Residual Network—0
Assurance for Deployed Continual Learning Systems—0
The Recognition Of Persian Phonemes Using PPNet—0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision—0
Personalized Federated Learning with Local Attention—0
Personalized Food Image Classification: Benchmark Datasets and New Baseline—0
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning—0
Personalized Semantics Excitation for Federated Image Classification—0
Person Re-identification: Past, Present and Future—0
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization—0
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Photonic convolutional neural networks using integrated diffractive optics—0
Predicting Natural Hazards with Neuronal Networks—0
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification—0
Predicting Stock Price Movement as an Image Classification Problem—0
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts—0
Context Normalization Layer with Applications—0
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
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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