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 11411150 of 10420 papers

TitleStatusHype
Augmented Neural ODEsCode1
Augmented Neural Fine-Tuning for Efficient Backdoor PurificationCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
Cross-modal Adversarial ReprogrammingCode1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
Curriculum Temperature for Knowledge DistillationCode1
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual RepresentationsCode1
Benchmarking Pathology Feature Extractors for Whole Slide Image ClassificationCode1
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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