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 7901–7925 of 10420 papers

TitleStatusHype
Ensemble learning in CNN augmented with fully connected subnetworksCode0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units—0
A Dynamic Reduction Network for Point CloudsCode0
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis—0
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking—0
Teacher-Student chain for efficient semi-supervised histology image classification—0
Assessing Robustness to Noise: Low-Cost Head CT Triage—0
Developing a Recommendation Benchmark for MLPerf Training and Inference—0
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks—0
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping—0
Stochastic gradient descent with random learning rate—0
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models—0
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise—0
Policy-Based Federated LearningCode0
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification—0
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
Extended Batch Normalization—0
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel AttentionCode0
Learning to be Global Optimizer—0
LIMEADE: From AI Explanations to Advice TakingCode0
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis—0
Decentralized SGD with Over-the-Air Computation—0
Search Space of Adversarial Perturbations against Image Filters—0
Accelerator-aware Neural Network Design using AutoML—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