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 36413650 of 10420 papers

TitleStatusHype
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection0
Flatten: Video Action Recognition is an Image Classification task0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique0
Class Instance Balanced Learning for Long-Tailed Classification0
Equivariance with Learned Canonicalization Functions0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning0
Equivariant Neural Tangent Kernels0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery0
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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