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 28412850 of 10420 papers

TitleStatusHype
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt TuningCode1
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems0
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization0
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification0
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled DataCode0
A Data-Driven Measure of Relative Uncertainty for Misclassification DetectionCode0
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal0
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie StimuliCode0
Exploring Robustness of Image Recognition Models on Hardware AcceleratorsCode0
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification0
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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