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 3851–3900 of 10420 papers

TitleStatusHype
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification—0
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning—0
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants—0
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50—0
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures—0
Exploring Target Driven Image Classification—0
Color Image Classification via Quaternion Principal Component Analysis Network—0
Exploring Temporal Differences in 3D Convolutional Neural Networks—0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Detecting Overfitting via Adversarial Examples—0
Higher Chest X-ray Resolution Improves Classification Performance—0
An Analysis of Pre-Training on Object Detection—0
Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation—0
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks—0
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization—0
Exploring the Sharpened Cosine Similarity—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy—0
Detecting Novelties with Empty Classes—0
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification—0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification—0
Combined convolutional and recurrent neural networks for hierarchical classification of images—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Extending Class Activation Mapping Using Gaussian Receptive Field—0
Extensions of regret-minimization algorithm for optimal design—0
Extracting Human Attention through Crowdsourced Patch Labeling—0
Combined Scaling for Zero-shot Transfer Learning—0
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?—0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution—0
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models—0
Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification—0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Combinets: Creativity via Recombination of Neural Networks—0
Extreme Network Compression via Filter Group Approximation—0
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification—0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation—0
Face Clustering: Representation and Pairwise Constraints—0
Face Identification with Second-Order Pooling—0
Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks—0
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning—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