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 42714280 of 10420 papers

TitleStatusHype
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model0
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning0
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?0
Bayesian Inference for Large Scale Image Classification0
DeepPSL: End-to-end perception and reasoning0
Achieving Explainability in a Visual Hard Attention Model through Content Prediction0
Bayesian Federated Neural Matching that Completes Full Information0
An Access Control Method with Secret Key for Semantic Segmentation Models0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?0
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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