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 3626–3650 of 10420 papers

TitleStatusHype
GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets—0
Focused Active Learning for Histopathological Image Classification—0
Trustless Audits without Revealing Data or Models—0
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism—0
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image ClassificationCode0
Noisy Label Processing for Classification: A Survey—0
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks—0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—0
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification—0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method—0
Guarantees of confidentiality via Hammersley-Chapman-Robbins boundsCode0
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging—0
Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance—0
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?Code0
CAM-Based Methods Can See through WallsCode0
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models—0
Smooth Deep SaliencyCode0
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image ClassificationCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Harnessing The Power of Attention For Patch-Based Biomedical Image Classification—0
Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification—0
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models—0
Instance-Aware Group Quantization for Vision Transformers—0
Cross-to-merge training with class balance strategy for learning with noisy labelsCode0
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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