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

Showing 110 of 10419 papers

TitleStatusHype
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations0
Adversarial attacks to image classification systems using evolutionary algorithms0
Federated Learning for Commercial Image Sources0
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy0
MUPAX: Multidimensional Problem Agnostic eXplainable AI0
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network WatermarkingCode0
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise0
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark EvaluationCode0
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1efficient adaptive ensemblingAccuracy96.81Unverified
2EffNet-L2 (SAM)Percentage correct96.08Unverified
3Swin-L + ML-DecoderPercentage correct95.1Unverified
4µ2Net (ViT-L/16)Percentage correct94.95Unverified
5ViT-B-16 (ImageNet-21K-P pretrain)Percentage correct94.2Unverified
6CvT-W24Percentage correct94.09Unverified
7ViT-B/16 (PUGD)Percentage correct93.95Unverified
8Heinsen Routing + BEiT-large 16 224Percentage correct93.8Unverified
9BiT-L (ResNet)Percentage correct93.51Unverified
10VIT-L/16 (Spinal FC, Background)Percentage correct93.31Unverified