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 4751–4775 of 10420 papers

TitleStatusHype
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Comparative Analysis of Different Methods for Classifying Polychromatic Sketches—0
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization—0
Compact Representation for Image Classification: To Choose or to Compress?—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning—0
Faster Training by Selecting Samples Using Embeddings—0
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation—0
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships—0
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications—0
Faster Adaptive Federated Learning—0
Compact Feature Learning for Multi-Domain Image Classification—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
A review of Deep learning Techniques for COVID-19 identification on Chest CT images—0
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge—0
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks—0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics—0
Fast, Better Training Trick --- Random Gradient—0
A review of deep learning-based information fusion techniques for multimodal medical image classification—0
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection—0
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks—0
Communication Efficient SGD via Gradient Sampling With Bayes Prior—0
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease—0
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification—0
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition—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