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 9676–9700 of 10420 papers

TitleStatusHype
¶ILCRO: Making Importance Landscapes Flat Again—0
Illuminated Decision Trees with Lucid—0
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach—0
IMACS: Image Model Attribution Comparison Summaries—0
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models—0
Image Analysis Based on Nonnegative/Binary Matrix Factorization—0
Image Analytics for Legal Document Review: A Transfer Learning Approach—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Image and Model Transformation with Secret Key for Vision Transformer—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
Image-Based Feature Representation for Insider Threat Classification—0
Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms—0
Image BERT Pre-training with Online Tokenizer—0
Image Captioners Sometimes Tell More Than Images They See—0
Image Classification and Retrieval from User-Supplied Tags—0
Image Classification at Supercomputer Scale—0
Image Classification Based on Quantum KNN Algorithm—0
Image classification based on support vector machine and the fusion of complementary features—0
Image Classification base on PCA of Multi-view Deep Representation—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Image classification by visual bag-of-words refinement and reduction—0
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Image Classification in the Dark using Quanta Image Sensors—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
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