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 6951–6975 of 10420 papers

TitleStatusHype
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity—0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification—0
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting—0
Continuous-Time Meta-Learning with Forward Mode Differentiation—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Efficient Super Resolution Using Binarized Neural Network—0
Efficient Sparse Artificial Neural Networks—0
OLID I: an open leaf image dataset for plant stress recognition—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
A General Upper Bound for Unsupervised Domain Adaptation—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective—0
Fuzzy Pooling—0
Fuzzy Pooling—0
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity—0
Continuous Convolutional Neural Networks for Image Classification—0
Chest X-ray Image Classification: A Causal Perspective—0
Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering—0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition—0
On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise—0
Continual Learning with Transformers for Image Classification—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks—0
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified