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 1001–1025 of 10419 papers

TitleStatusHype
Multi-Modal Adapter for Vision-Language ModelsCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
FC-KAN: Function Combinations in Kolmogorov-Arnold NetworksCode1
Evaluation and Comparison of Visual Language Models for Transportation Engineering ProblemsCode0
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action RecognitionCode0
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude RegularizationCode0
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image ClassificationCode1
One-Index Vector Quantization Based Adversarial Attack on Image Classification—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic SegmentationCode0
Real-Time Weather Image Classification with SVMCode0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?—0
Data Augmentation for Image Classification using Generative AI—0
Incremental Open-set Domain Adaptation—0
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba TrainingCode1
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks—0
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector—0
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification—0
SODAWideNet++: Combining Attention and Convolutions for Salient Object DetectionCode0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationCode1
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative ModelsCode0
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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