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 7526–7550 of 10420 papers

TitleStatusHype
PRIME: Prioritizing Interpretability in Failure Mode Extraction—0
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey—0
Inspect Transfer Learning Architecture with Dilated Convolution—0
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images—0
INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks—0
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning—0
Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars—0
Backdoor Attacks against Image-to-Image Networks—0
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—0
Privacy-preserving Decentralized Aggregation for Federated Learning—0
Adaptive Ensemble Learning: Boosting Model Performance through Intelligent Feature Fusion in Deep Neural Networks—0
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks—0
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
Privacy-Preserving Image Classification in the Local Setting—0
Privacy-Preserving Image Classification Using Isotropic Network—0
Privacy-Preserving Image Classification Using Vision Transformer—0
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks—0
Privacy-preserving Machine Learning for Medical Image Classification—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models—0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
Privacy-Preserving Video Classification with Convolutional Neural Networks—0
Privacy Safe Representation Learning via Frequency Filtering Encoder—0
InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models—0
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories—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