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 30613070 of 10420 papers

TitleStatusHype
Accumulator-Aware Post-Training Quantization0
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks0
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN RobustnessCode0
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images0
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image ClassificationCode0
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning0
Critic Loss for Image Classification0
VLMine: Long-Tail Data Mining with Vision Language Models0
Margin-bounded Confidence Scores for Out-of-Distribution DetectionCode0
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study0
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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