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 5401–5425 of 10420 papers

TitleStatusHype
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
Is Pretraining Necessary for Hyperspectral Image Classification?—0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
Balancing the Causal Effects in Class-Incremental Learning—0
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective—0
Hidden Classification Layers: Enhancing linear separability between classes in neural networks layers—0
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification—0
Iterative Averaging in the Quest for Best Test Error—0
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays—0
Learning Longer-term Dependencies in RNNs with Auxiliary Losses—0
Iterative Learning for Reliable Crowdsourcing Systems—0
HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers—0
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—0
Iterative Quantum Feature Maps—0
Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification—0
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy—0
AI of Brain and Cognitive Sciences: From the Perspective of First Principles—0
Learning Long Sequences in Spiking Neural Networks—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—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