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 2601–2625 of 10420 papers

TitleStatusHype
PerceptionCLIP: Visual Classification by Inferring and Conditioning on ContextsCode1
Dynamic Token Pruning in Plain Vision Transformers for Semantic SegmentationCode1
NormKD: Normalized Logits for Knowledge DistillationCode1
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information—0
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis—0
Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)—0
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image ClassifiersCode0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG DataCode1
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection—0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification—0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
Task-Oriented Channel Attention for Fine-Grained Few-Shot ClassificationCode1
Few-shot Image Classification based on Gradual Machine Learning—0
Quantum-limited stochastic optical neural networks operating at a few quanta per activationCode1
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image ClassificationCode1
Cross-Modal Concept Learning and Inference for Vision-Language Models—0
Self-Supervised Learning for Improved Synthetic Aperture Sonar Target Recognition—0
PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationCode1
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device—0
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
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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