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 3151–3200 of 10419 papers

TitleStatusHype
Data downlink prioritization using image classification on-board a 6U CubeSat—0
On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise—0
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules—0
Uncertainties of Latent Representations in Computer Vision—0
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision FusionCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights—0
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective—0
Optimal Layer Selection for Latent Data Augmentation—0
Symmetric masking strategy enhances the performance of Masked Image Modeling—0
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language ModelsCode0
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial IntelligenceCode0
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling—0
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification—0
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network—0
Whole Slide Image Classification of Salivary Gland Tumours—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
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond—0
Cervical Cancer Detection Using Multi-Branch Deep Learning Model—0
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping—0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—0
Leveraging Superfluous Information in Contrastive Representation Learning—0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—0
HaSPeR: An Image Repository for Hand Shadow Puppet RecognitionCode0
Dataset Distillation for Histopathology Image Classification—0
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—0
Learning to Explore for Stochastic Gradient MCMCCode0
Narrowing the Focus: Learned Optimizers for Pretrained Models—0
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural PolarizationCode0
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
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks—0
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language ModelsCode0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs—0
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
Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices—0
Activation Space Selectable Kolmogorov-Arnold Networks—0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks—0
Coherence Awareness in Diffractive Neural NetworksCode0
Efficient Search for Customized Activation Functions with Gradient DescentCode0
Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium OrchidsCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified