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 20512060 of 10420 papers

TitleStatusHype
Cross-Iteration Batch NormalizationCode1
Scalable and Practical Natural Gradient for Large-Scale Deep LearningCode1
Capsules with Inverted Dot-Product Attention RoutingCode1
Over-the-Air Adversarial Flickering Attacks against Video Recognition NetworksCode1
Invariant Risk Minimization GamesCode1
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image ClassificationCode1
Subspace Capsule NetworkCode1
Efficient Model for Image Classification With Regularization TricksCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Post-Training Piecewise Linear Quantization for Deep Neural NetworksCode1
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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