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 3551–3600 of 10419 papers

TitleStatusHype
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks—0
Variational Neuron Shifting for Few-Shot Image Classification Across Domains—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Data Augmentation Policy Search for Long-Term Forecasting—0
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair—0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning—0
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders—0
A Method of Moments Embedding Constraint and its Application to Semi-Supervised LearningCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
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
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks—0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning—0
MoDE: CLIP Data Experts via Clustering—0
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification—0
Vision Transformer-based Adversarial Domain AdaptationCode0
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsCode0
Compressed Meta-Optical Encoder for Image Classification—0
A review of deep learning-based information fusion techniques for multimodal medical image classification—0
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models—0
Deep multi-prototype capsule networks—0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
CKD: Contrastive Knowledge Distillation from A Sample-wise PerspectiveCode0
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing—0
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder—0
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning—0
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image ClassificationCode0
Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing—0
Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment—0
On-board classification of underwater images using hybrid classical-quantum CNN based method—0
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets—0
A Perspective on Deep Vision Performance with Standard Image and Video Codecs—0
Concept Induction using LLMs: a user experiment for assessment—0
A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene—0
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured—0
GhostNetV3: Exploring the Training Strategies for Compact Models—0
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification—0
Vocabulary-free Image Classification and Semantic SegmentationCode0
Tree Bandits for Generative Bayes—0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification TasksCode0
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model—0
Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection—0
A variable metric proximal stochastic gradient method: an application to classification problemsCode0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models—0
Breast Cancer Image Classification Method Based on Deep Transfer Learning—0
Coreset Selection for Object Detection—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