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 3801–3850 of 10420 papers

TitleStatusHype
Sequential Learning Of Neural Networks for Prequential MDL—0
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for TransformersCode1
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksCode1
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized RecommendationCode0
Confidence estimation of classification based on the distribution of the neural network output layer—0
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
SageMix: Saliency-Guided Mixup for Point CloudsCode1
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Improving the Reliability for Confidence Estimation—0
On Divergence Measures for Bayesian PseudocoresetsCode0
Are Sample-Efficient NLP Models More Robust?—0
Latency-aware Spatial-wise Dynamic NetworksCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos ClassificationCode0
Token-Label Alignment for Vision TransformersCode1
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation LearningCode1
Deep Combinatorial AggregationCode0
A Unified Framework with Meta-dropout for Few-shot Learning—0
Semantic Cross Attention for Few-shot LearningCode0
Designing Robust Transformers using Robust Kernel Density Estimation—0
Deep Active Ensemble Sampling For Image Classification—0
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural NetworksCode1
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
Schedule-Robust Online Continual Learning—0
The Equalization Losses: Gradient-Driven Training for Long-tailed Object RecognitionCode2
Understanding the Failure of Batch Normalization for Transformers in NLPCode1
OPERA: Omni-Supervised Representation Learning with Hierarchical SupervisionsCode1
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware—0
Continual Learning with Evolving Class Ontologies—0
Multi-Modal Fusion by Meta-InitializationCode0
Universal Adversarial Perturbations: Efficiency on a small image datasetCode0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
A Differentiable Distance Approximation for Fairer Image ClassificationCode0
Online Training Through Time for Spiking Neural NetworksCode1
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention NetworkCode1
Improving Data-Efficient Fossil Segmentation via Model Editing—0
Fast-ParC: Capturing Position Aware Global Feature for ConvNets and ViTs—0
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained ModelsCode1
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image ClassificationCode1
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Gastrointestinal Disorder Detection with a Transformer Based Approach—0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning—0
Topological Continual Learning with Wasserstein Distance and Barycenter—0
CLAD: A Contrastive Learning based Approach for Background DebiasingCode0
Misaligned orientations of 4f optical neural network for image classification accuracy on various datasets—0
ImpressLearn: Continual Learning via Combined Task Impressions—0
Why Random Pruning Is All We Need to Start SparseCode0
Multi-stream Fusion for Class Incremental Learning in Pill Image ClassificationCode0
Robustness Certification of Visual Perception Models via Camera Motion SmoothingCode1
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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