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 7501–7550 of 10420 papers

TitleStatusHype
Predictive Models from Quantum Computer Benchmarks—0
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach—0
Deep Learning based HEp-2 Image Classification: A Comprehensive Review—0
Backpropagation-free Training of Deep Physical Neural Networks—0
AMLA: an AutoML frAmework for Neural Network Design—0
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation—0
Integrated perception with recurrent multi-task neural networks—0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT—0
Institutionally Distributed Deep Learning Networks—0
ParasNet: Fast Parasites Detection with Neural Networks—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation—0
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition—0
Amicable Aid: Perturbing Images to Improve Classification Performance—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation—0
Deep Learning At Scale and At Ease—0
Backdoor Attack with Mode Mixture Latent Modification—0
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification—0
Instance-based Deep Transfer Learning—0
Instance-Aware Group Quantization for Vision Transformers—0
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
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