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 3551–3575 of 10420 papers

TitleStatusHype
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Variational Neuron Shifting for Few-Shot Image Classification Across Domains—0
Data Augmentation Policy Search for Long-Term Forecasting—0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning—0
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair—0
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders—0
Implicit Generative Prior for Bayesian Neural NetworksCode0
A Method of Moments Embedding Constraint and its Application to Semi-Supervised LearningCode0
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' DepthCode0
SPLICE -- Streamlining Digital Pathology Image Processing—0
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes—0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks—0
MoDE: CLIP Data Experts via Clustering—0
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsCode0
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning—0
Vision Transformer-based Adversarial Domain AdaptationCode0
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification—0
Compressed Meta-Optical Encoder for Image Classification—0
A review of deep learning-based information fusion techniques for multimodal medical image classification—0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models—0
Deep multi-prototype capsule networks—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