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 27212730 of 10420 papers

TitleStatusHype
Continual Learning in Open-vocabulary Classification with Complementary Memory SystemsCode0
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification0
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations0
Review helps learn better: Temporal Supervised Knowledge Distillation0
Structured Network Pruning by Measuring Filter-wise Interactions0
Why do CNNs excel at feature extraction? A mathematical explanation0
FedDefender: Backdoor Attack Defense in Federated LearningCode1
Query-Efficient Decision-based Black-Box Patch Attack0
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study0
MobileViG: Graph-Based Sparse Attention for Mobile Vision ApplicationsCode1
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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