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 13411350 of 10420 papers

TitleStatusHype
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
MiSuRe is all you need to explain your image segmentation0
Online Anchor-based Training for Image Classification Tasks0
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification0
BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold NetworksCode1
Visually Consistent Hierarchical Image Classification0
Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%Code2
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models0
Cross-domain Open-world DiscoveryCode0
Boosting Medical Image Classification with Segmentation Foundation Model0
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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