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 12211230 of 10420 papers

TitleStatusHype
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
GPC: Generative and General Pathology Image Classifier0
Local Clustering for Lung Cancer Image Classification via Sparse Solution TechniqueCode0
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification0
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
Enrich the content of the image Using Context-Aware Copy Paste0
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical0
MambaVision: A Hybrid Mamba-Transformer Vision BackboneCode7
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified