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 7976–8000 of 10420 papers

TitleStatusHype
On Parameter Tuning in Meta-learning for Computer Vision—0
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator—0
Privacy-Preserving Image Classification in the Local Setting—0
Learning efficient structured dictionary for image classification—0
Convolutional Neural Network Pruning Using Filter Attenuation—0
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification—0
RAID: Randomized Adversarial-Input Detection for Neural Networks—0
CIFAR-10 Image Classification Using Feature EnsemblesCode0
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network—0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs—0
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study—0
Analyzing the Dependency of ConvNets on Spatial Information—0
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves—0
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation—0
AdvJND: Generating Adversarial Examples with Just Noticeable Difference—0
Learning to Detect Malicious Clients for Robust Federated Learning—0
Asymmetric Distribution Measure for Few-shot Learning—0
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task—0
Adversarial Incremental Learning—0
Non-Determinism in TensorFlow ResNets—0
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme—0
Learn to Predict Sets Using Feed-Forward Neural Networks—0
Evaluating the Progress of Deep Learning for Visual Relational Concepts—0
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified