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 3526–3550 of 10420 papers

TitleStatusHype
Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n^2)-type of Risk Bounds—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning—0
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution—0
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
An Attention Module for Convolutional Neural Networks—0
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning—0
Few-shot Image Classification with Multi-Facet Prototypes—0
Few-shot Learning for Domain-specific Fine-grained Image Classification—0
Encoder Based Lifelong Learning—0
Few-Shot Non-Parametric Learning with Deep Latent Variable Model—0
Encoders and Ensembles for Task-Free Continual Learning—0
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift—0
FIXED: Frustratingly Easy Domain Generalization with Mixup—0
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors—0
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning—0
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting—0
Anatomy-specific classification of medical images using deep convolutional nets—0
Few-Shot Image Classification Along Sparse Graphs—0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification—0
An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans—0
Development Of A Fire Detection System On Satellite Images—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