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 561570 of 10419 papers

TitleStatusHype
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
A Data Set and a Convolutional Model for Iconography Classification in PaintingsCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
AdaScale SGD: A User-Friendly Algorithm for Distributed TrainingCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
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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