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 7451–7475 of 10420 papers

TitleStatusHype
U^2-Net: Going Deeper with Nested U-Structure for Salient Object DetectionCode3
Translating Video Recordings of Mobile App Usages into Replayable Scenarios—0
Cross-filter compression for CNN inference acceleration—0
Neural Networks for Fashion Image Classification and Visual SearchCode0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic ProcessorCode1
Universal Adversarial Perturbations: A Survey—0
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention—0
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
Initializing Perturbations in Multiple Directions for Fast Adversarial Training—0
On Using Transfer Learning For Plant Disease Detection—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
A New Deep Neural Architecture Search Pipeline for Face Recognition—0
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing—0
One-Shot Recognition of Manufacturing Defects in Steel SurfacesCode1
Neural Architecture TransferCode1
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients—0
Robustness Verification for Classifier Ensembles—0
Train and Deploy an Image Classifier for Disaster Response—0
Medical Image Segmentation Using a U-Net type of Architecture—0
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar 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
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