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 41214130 of 10420 papers

TitleStatusHype
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing0
AutoDiCE: Fully Automated Distributed CNN Inference at the EdgeCode1
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning0
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation0
Tailoring Self-Supervision for Supervised LearningCode1
EASNet: Searching Elastic and Accurate Network Architecture for Stereo MatchingCode0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup0
Latent Discriminant deterministic UncertaintyCode1
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image ClassificationCode1
Balanced Contrastive Learning for Long-Tailed Visual RecognitionCode1
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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
10RevCol-HTop 1 Accuracy90Unverified