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 3351–3400 of 10419 papers

TitleStatusHype
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
Differentially Private Video Activity Recognition—0
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run—0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features—0
Differentially Private Meta-Learning—0
Category Disentangled Context: Turning Category-irrelevant Features Into Treasures—0
Ancient Coin Classification Using Graph Transduction Games—0
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates—0
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification—0
Differentially Private Federated Learning via Inexact ADMM—0
Topology-aware Differential Privacy for Decentralized Image Classification—0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
Differentiable Search for Finding Optimal Quantization Strategy—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox—0
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients—0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Biologically inspired deep residual networks for computer vision applications—0
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification—0
Effective Evaluation of Deep Active Learning on Image Classification Tasks—0
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation—0
Causally Focused Convolutional Networks Through Minimal Human Guidance—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Anchor Cascade for Efficient Face Detection—0
Differentiable Deep Clustering with Cluster Size Constraints—0
Differentiable Channel Sparsity Search via Weight Sharing within Filters—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Effective Version Space Reduction for Convolutional Neural Networks—0
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks—0
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Differentiable Architecture Compression—0
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features—0
Bio-inspired learnable divisive normalization for ANNs—0
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
A Closer Look at Personalization in Federated Image Classification—0
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques—0
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer 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
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