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 25912600 of 10420 papers

TitleStatusHype
Class-Specific Channel Attention for Few-Shot Learning0
Adaptive Gradient for Adversarial Perturbations Generation0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification0
Appending Adversarial Frames for Universal Video Attack0
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift0
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking0
Dual-stream Network for Visual Recognition0
Show:102550
← PrevPage 260 of 1042Next →

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