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 19511960 of 10420 papers

TitleStatusHype
UV-SAM: Adapting Segment Anything Model for Urban Village IdentificationCode2
Learn What You Need in Personalized Federated LearningCode0
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone NetworksCode0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?0
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness0
Activations and Gradients Compression for Model-Parallel TrainingCode0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
Knee or ROC0
A Strong Inductive Bias: Gzip for binary image classification0
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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