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 2476–2500 of 10420 papers

TitleStatusHype
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets—0
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer—0
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
Traveling Waves Encode the Recent Past and Enhance Sequence LearningCode1
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and ExperimentsCode0
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module—0
SortedNet: A Scalable and Generalized Framework for Training Modular Deep Neural Networks—0
Fine-grained Recognition with Learnable Semantic Data AugmentationCode1
FACET: Fairness in Computer Vision Evaluation Benchmark—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—0
The Quest of Finding the Antidote to Sparse Double Descent—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
Classification robustness to common optical aberrationsCode0
Hyperbolic Convolutional Neural Networks—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot InteractionCode1
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints—0
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image ClassificationCode0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup—0
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small SamplesCode0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
Multi-Scale and Multi-Layer Contrastive Learning for Domain GeneralizationCode0
Show:102550
← PrevPage 100 of 417Next →
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