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 1051–1075 of 10419 papers

TitleStatusHype
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network—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
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
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond—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
HaSPeR: An Image Repository for Hand Shadow Puppet RecognitionCode0
Dataset Distillation for Histopathology Image Classification—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
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
Narrowing the Focus: Learned Optimizers for Pretrained Models—0
PREMAP: A Unifying PREiMage APproximation Framework for Neural NetworksCode0
Learning to Explore for Stochastic Gradient MCMCCode0
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural PolarizationCode0
Flatten: Video Action Recognition is an Image Classification task—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