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 5026–5050 of 10420 papers

TitleStatusHype
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks—0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning—0
Immuno-mimetic Deep Neural Networks (Immuno-Net)—0
CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface—0
Impact of Aliasing on Generalization in Deep Convolutional Networks—0
Impact of Attention on Adversarial Robustness of Image Classification Models—0
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm—0
Impact of base dataset design on few-shot image classification—0
Impact of Batch Normalization on Convolutional Network Representations—0
Impact of Colour Variation on Robustness of Deep Neural Networks—0
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models—0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting—0
Impact of Feedback Type on Explanatory Interactive Learning—0
Attribute Recognition by Joint Recurrent Learning of Context and Correlation—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
Impact of Light and Shadow on Robustness of Deep Neural Networks—0
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks—0
Hierarchical Auxiliary Learning—0
Impact of Privacy Parameters on Deep Learning Models for Image Classification—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—0
Impact of Scaled Image on Robustness of Deep Neural Networks—0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control—0
Implementation of Artificial Neural Networks for the Nepta-Uranian Interplanetary (NUIP) Mission—0
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification—0
CSIFT Based Locality-constrained Linear Coding for Image Classification—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