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

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Showing 2501–2550 of 10419 papers

TitleStatusHype
CNNs Avoid Curse of Dimensionality by Learning on Patches—0
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification—0
Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox—0
Drift to Remember—0
CNN Feature Map Augmentation for Single-Source Domain Generalization—0
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks—0
A precortical module for robust CNNs to light variations—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—0
CNN Based Flank Predictor for Quadruped Animal Species—0
A precortical module for robust CNNs to light variations—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation—0
DropKey for Vision Transformer—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
CNN Based Analysis of the Luria’s Alternating Series Test for Parkinson’s Disease Diagnostics—0
CNN architecture extraction on edge GPU—0
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval—0
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets—0
Approximation properties of Residual Neural Networks for Kolmogorov PDEs—0
Adversarially Robust Generalization Requires More Data—0
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play—0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
clustering an african hairstyle dataset using pca and k-means—0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification—0
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification—0
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures—0
Approximated Prompt Tuning for Vision-Language Pre-trained Models—0
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification—0
Conditional Classification: A Solution for Computational Energy Reduction—0
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks—0
Utilizing Dependence among Variables in Evolutionary Algorithms for Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization—0
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization—0
Adversarial Incremental Learning—0
A Comprehensive Survey on Hardware-Aware Neural Architecture Search—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
Cloud Adversarial Example Generation for Remote Sensing Image Classification—0
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy—0
Close Yet Distinctive Domain Adaptation—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification—0
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning—0
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study—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