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 1051–1100 of 10419 papers

TitleStatusHype
Whole Slide Image Classification of Salivary Gland Tumours—0
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification—0
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
Approaching Deep Learning through the Spectral Dynamics of WeightsCode1
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond—0
SBDet: A Symmetry-Breaking Object Detector via Relaxed Rotation-Equivariance—0
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning—0
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessCode0
MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt TuningCode1
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—0
Cervical Cancer Detection Using Multi-Branch Deep Learning Model—0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping—0
Leveraging Superfluous Information in Contrastive Representation Learning—0
Dataset Distillation for Histopathology Image Classification—0
HaSPeR: An Image Repository for Hand Shadow Puppet RecognitionCode0
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing—0
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation ModelsCode3
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—0
Narrowing the Focus: Learned Optimizers for Pretrained Models—0
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural PolarizationCode0
Learning to Explore for Stochastic Gradient MCMCCode0
Flatten: Video Action Recognition is an Image Classification task—0
PREMAP: A Unifying PREiMage APproximation Framework for Neural NetworksCode0
Oral squamous cell detection using deep learning—0
Image Class Translation Distance: A Novel Interpretable Feature for Image Classification—0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs—0
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks—0
Efficient Image-to-Image Diffusion Classifier for Adversarial RobustnessCode1
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language ModelsCode0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition TasksCode3
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts—0
Beyond Uniform Query Distribution: Key-Driven Grouped Query AttentionCode0
Activation Space Selectable Kolmogorov-Arnold Networks—0
Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices—0
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-trainingCode2
Towards flexible perception with visual memoryCode1
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
HAIR: Hypernetworks-based All-in-One Image RestorationCode2
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks—0
Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium OrchidsCode0
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Towards Cross-Domain Single Blood Cell Image Classification via Large-Scale LoRA-based Segment Anything ModelCode1
Do Vision-Language Foundational models show Robust Visual Perception?Code0
Efficient Search for Customized Activation Functions with Gradient DescentCode0
Coherence Awareness in Diffractive Neural NetworksCode0
Global-to-Local Support Spectrums for Language Model Explainability—0
Targeted Deep Learning System Boundary TestingCode0
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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