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 3601–3650 of 10419 papers

TitleStatusHype
Exploring Explainability in Video Action Recognition—0
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification—0
SpectralMamba: Efficient Mamba for Hyperspectral Image Classification—0
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example—0
A Survey of Neural Network Robustness Assessment in Image Recognition—0
Learning to Classify New Foods Incrementally Via Compressed Exemplars—0
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models—0
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image ClassificationCode0
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingCode0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint EvolutionCode0
Differentiable Search for Finding Optimal Quantization Strategy—0
Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification—0
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach—0
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations—0
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures—0
Evolving Efficient CNN Based Model for Image Classification—0
On adversarial training and the 1 Nearest Neighbor classifierCode0
Quantum Circuit C^*-algebra Net—0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
On the Convergence of Continual Learning with Adaptive Methods—0
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracyCode0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images—0
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
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text GuidanceCode0
Show:102550
← PrevPage 73 of 209Next →
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