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 7401–7425 of 10420 papers

TitleStatusHype
Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures—0
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal—0
Prefix Conditioning Unifies Language and Label Supervision—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Context-aware deep model compression for edge cloud computing—0
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification—0
Context-Aware Classification of Legal Document Pages—0
FPGA Resource-aware Structured Pruning for Real-Time Neural Networks—0
Playing the Game of Universal Adversarial Perturbations—0
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP—0
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval—0
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification—0
PLM: Partial Label Masking for Imbalanced Multi-label Classification—0
Evaluation of Deep Learning on an Abstract Image Classification Dataset—0
A Gabor block based Kernel Discriminative Common Vector (KDCV) approach using cosine kernels for Human Face Recognition—0
Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification—0
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI—0
Context Augmentation for Convolutional Neural Networks—0
p-Meta: Towards On-device Deep Model Adaptation—0
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network—0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound—0
FoveaTer: Foveated Transformer for Image Classification—0
Context-Agnostic Learning Using Synthetic Data—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