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

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Showing 4501–4525 of 10420 papers

TitleStatusHype
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
Adaptive hybrid activation function for deep neural networksCode0
OCFormer: One-Class Transformer Network for Image Classification—0
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And DatasetCode0
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum LearningCode1
A Closer Look at Personalization in Federated Image Classification—0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
Enhancing Core Image Classification Using Generative Adversarial Networks (GANs)—0
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees—0
Multiple EffNet/ResNet Architectures for Melanoma Classification—0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—0
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification—0
Self-supervised Learning for Sonar Image ClassificationCode1
K-LITE: Learning Transferable Visual Models with External KnowledgeCode2
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems—0
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual ModelsCode4
Image Data Augmentation for Deep Learning: A Survey—0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
An Extendable, Efficient and Effective Transformer-based Object Detector—0
Learning with SignaturesCode1
Continual Hippocampus Segmentation with TransformersCode1
Searching Intrinsic Dimensions of Vision Transformers—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