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 3576–3600 of 10420 papers

TitleStatusHype
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding—0
Improving Zero-shot Generalization and Robustness of Multi-modal ModelsCode1
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder—0
Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition—0
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework—0
Compound Batch Normalization for Long-tailed Image Classification—0
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?Code0
SolarDK: A high-resolution urban solar panel image classification and localization dataset—0
Faster Adaptive Federated Learning—0
MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationCode2
Evaluation of Explanation Methods of AI -- CNNs in Image Classification Tasks with Reference-based and No-reference MetricsCode0
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsCode1
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure—0
Soft Labels for Rapid Satellite Object Detection—0
Exploiting Kernel Compression on BNNs—0
Experimental Observations of the Topology of Convolutional Neural Network Activations—0
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes—0
Rethinking Two Consensuses of the Transferability in Deep Learning—0
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification—0
ResFormer: Scaling ViTs with Multi-Resolution TrainingCode1
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification—0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
Pattern Attention Transformer with Doughnut Kernel—0
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationCode1
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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