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 3901–3950 of 10420 papers

TitleStatusHype
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—0
FACET: Fairness in Computer Vision Evaluation Benchmark—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
GhostNetV3: Exploring the Training Strategies for Compact Models—0
Factorized Adversarial Networks for Unsupervised Domain Adaptation—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification—0
Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification—0
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks—0
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization—0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis—0
FairDD: Fair Dataset Distillation via Synchronized Matching—0
Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging—0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification—0
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification—0
Fairness-Aware Meta-Learning via Nash Bargaining—0
Fairness Testing of Deep Image Classification with Adequacy Metrics—0
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis—0
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification—0
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization—0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification—0
Comment on "Ensemble Projection for Semi-supervised Image Classification"—0
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks—0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation—0
Committees of deep feedforward networks trained with few data—0
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance—0
Fall Leaf Adversarial Attack on Traffic Sign Classification—0
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning—0
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images—0
Fashion and Apparel Classification using Convolutional Neural Networks—0
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels—0
Detecting Adversarial Perturbations with Saliency—0
Efficient Object Embedding for Spliced Image Retrieval—0
Fast Adaptation with Linearized Neural Networks—0
Communication-Efficient Edge AI: Algorithms and Systems—0
Communication-Efficient Federated Distillation—0
A Classifier-guided Approach for Top-down Salient Object Detection—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition—0
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks—0
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces—0
Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification—0
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision—0
Fast, Better Training Trick --- Random Gradient—0
Detecting Adversarial Examples in Convolutional Neural Networks—0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics—0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—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