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 21112120 of 10420 papers

TitleStatusHype
Model Agnostic Defence against Backdoor Attacks in Machine LearningCode1
Incremental Learning Techniques for Semantic SegmentationCode1
Grid Saliency for Context Explanations of Semantic SegmentationCode1
MixConv: Mixed Depthwise Convolutional KernelsCode1
Lookahead Optimizer: k steps forward, 1 step backCode1
Sparse Networks from Scratch: Faster Training without Losing PerformanceCode1
Invariant Risk MinimizationCode1
Learning Data Augmentation Strategies for Object DetectionCode1
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial VehiclesCode1
XNAS: Neural Architecture Search with Expert AdviceCode1
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified