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 11111120 of 10420 papers

TitleStatusHype
Contextual Diversity for Active LearningCode1
Contextual Transformer Networks for Visual RecognitionCode1
Continual Hippocampus Segmentation with TransformersCode1
A graph-transformer for whole slide image classificationCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagationCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
A Call to Reflect on Evaluation Practices for Failure Detection in Image ClassificationCode1
Container: Context Aggregation NetworkCode1
Contextual Convolutional 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
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