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 3951–4000 of 10420 papers

TitleStatusHype
Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms—0
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis—0
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with OutliersCode0
Unsupervised Segmentation of Colonoscopy Images—0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Unveiling Spaces: Architecturally meaningful semantic descriptions from images of interior spaces—0
Optimizing Neural Networks with Gradient Lexicase SelectionCode0
Delving Deeper Into Astromorphic Transformers—0
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification—0
Adversarial Robustness on Image Classification with k-means—0
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—0
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classificationCode0
On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth comparative experiments—0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Learning Long Sequences in Spiking Neural Networks—0
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization—0
Weight subcloning: direct initialization of transformers using larger pretrained ones—0
Radio Signal Classification by Adversarially Robust Quantum Machine Learning—0
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
Contractive error feedback for gradient compression—0
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things—0
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationCode0
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification—0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation—0
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification—0
RAFIC: Retrieval-Augmented Few-shot Image ClassificationCode0
Initialization Matters for Adversarial Transfer LearningCode0
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering ApproachCode0
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification—0
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning—0
Annotation-Free Group Robustness via Loss-Based Resampling—0
Human-in-the-Loop Visual Re-ID for Population Size EstimationCode0
An adversarial attack approach for eXplainable AI evaluation on deepfake detection modelsCode0
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning—0
Transferable Candidate Proposal with Bounded UncertaintyCode0
Text as Image: Learning Transferable Adapter for Multi-Label Classification—0
Cross-Modal Alternating Learning with Task-Aware Representations for Continual LearningCode0
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks—0
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification—0
Classification for everyone : Building geography agnostic models for fairer recognition—0
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry—0
GDN: A Stacking Network Used for Skin Cancer DiagnosisCode0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
A Comprehensive Literature Review on Sweet Orange Leaf Diseases—0
Federated Active Learning for Target Domain GeneralisationCode0
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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