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 9201–9225 of 10420 papers

TitleStatusHype
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data—0
Semi-Supervised Deep Learning with MemoryCode0
Transductive Semi-Supervised Deep Learning using Min-Max Features—0
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images—0
Seeing Colors: Learning Semantic Text Encoding for Classification—0
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation—0
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification—0
Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGACode0
Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos—0
Searching Toward Pareto-Optimal Device-Aware Neural Architectures—0
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification—0
Motorcycle Classification in Urban Scenarios using Convolutional Neural Networks for Feature Extraction—0
How do Convolutional Neural Networks Learn Design?—0
Maximal Jacobian-based Saliency Map Attack—0
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)Code0
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames—0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
Asymptotic Soft Filter Pruning for Deep Convolutional Neural NetworksCode0
Neural Architecture OptimizationCode0
Hyperspectral image classification using spectral-spatial LSTMs—0
Class2Str: End to End Latent Hierarchy LearningCode0
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification—0
Handwritten digit and letter recognition using hybrid dwt-dct with knn and svm classifier—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
BlockQNN: Efficient Block-wise Neural Network Architecture GenerationCode0
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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