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 5526–5550 of 10420 papers

TitleStatusHype
Facilitated machine learning for image-based fruit quality assessmentCode0
Rethinking Persistent Homology for Visual Recognition—0
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification—0
Combining Deep Learning with Good Old-Fashioned Machine Learning—0
Pixel-level Correspondence for Self-Supervised Learning from Video—0
On the Subspace Structure of Gradient-Based Meta-Learning—0
Guiding the retraining of convolutional neural networks against adversarial inputs—0
Calibrate to InterpretCode0
An Embedding-Dynamic Approach to Self-supervised Learning—0
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions—0
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation—0
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—0
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch—0
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning—0
Vision-and-Language PretrainingCode0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
Generalization to translation shifts: a study in architectures and augmentations—0
Understanding and Improving Group NormalizationCode0
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation ModelsCode0
Portuguese Man-of-War Image Classification with Convolutional Neural Networks—0
DecisioNet: A Binary-Tree Structured Neural NetworkCode0
On Leave-One-Out Conditional Mutual Information For Generalization—0
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image ClassificationCode0
Show:102550
← PrevPage 222 of 417Next →
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
10RevCol-HTop 1 Accuracy90—Unverified