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 7451–7500 of 10420 papers

TitleStatusHype
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs—0
Pooling Revisited: Your Receptive Field is Suboptimal—0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
Context Augmentation for Convolutional Neural Networks—0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound—0
Portuguese Man-of-War Image Classification with Convolutional Neural Networks—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters—0
Evolution of active categorical image classification via saccadic eye movement—0
FoveaTer: Foveated Transformer for Image Classification—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
Evolved Part Masking for Self-Supervised Learning—0
Post-hoc Calibration of Neural Networks by g-Layers—0
Context-Agnostic Learning Using Synthetic Data—0
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks—0
Post-variational quantum neural networks—0
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—0
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity—0
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing—0
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models—0
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification—0
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance—0
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion—0
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer—0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
Assessing two novel distance-based loss functions for few-shot image classification—0
SABLE: Secure And Byzantine robust LEarning—0
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification—0
Forward-Forward Contrastive Learning—0
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study—0
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks—0
Content and Context Features for Scene Image Representation—0
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs—0
Progressive Meta-Pooling Learning for Lightweight Image Classification Model—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
Progressive Neural Networks for Image Classification—0
FORML: Learning to Reweight Data for Fairness—0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene—0
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution—0
Predicting Natural Hazards with Neuronal Networks—0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
Predicting Stock Price Movement as an Image Classification Problem—0
Predicting the outputs of finite deep neural networks trained with noisy gradients—0
Formal Verification of Deep Neural Networks for Object Detection—0
Predicting the Reliability of an Image Classifier under Image Distortion—0
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification—0
Predicting Useful Neighborhoods for Lazy Local Learning—0
Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection—0
Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach—0
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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