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 25412550 of 10420 papers

TitleStatusHype
Latent State Models of Training DynamicsCode0
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation0
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision TransformersCode1
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification0
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning0
ResBuilder: Automated Learning of Depth with Residual Structures0
Vision-Language Dataset DistillationCode1
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning0
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationCode1
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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