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 7151–7175 of 10420 papers

TitleStatusHype
Deep Multi-view Models for Glitch Classification—0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification—0
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification—0
Deep Multi-Task Learning for Malware Image Classification—0
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization—0
Deep multi-survey classification of variable stars—0
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Jacobian Descent for Multi-Objective Optimization—0
Deep multi-prototype capsule networks—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
Optical Neural Networks—0
Optical Neural Ordinary Differential Equations—0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
Optimal Attacks against Multiple Classifiers—0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
Optimal Layer Selection for Latent Data Augmentation—0
Deep Multiple Instance Learning for Image Classification and Auto-Annotation—0
Basic Thresholding Classification—0
A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap—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