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 23512360 of 10420 papers

TitleStatusHype
What do larger image classifiers memorise?0
Progressive Neural Compression for Adaptive Image Offloading under Timing ConstraintsCode1
Enhancing Representations through Heterogeneous Self-Supervised Learning0
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks0
Activate and Reject: Towards Safe Domain Generalization under Category Shift0
PriViT: Vision Transformers for Fast Private InferenceCode0
A privacy-preserving method using secret key for convolutional neural network-based speech classification0
Why Do We Need Weight Decay in Modern Deep Learning?Code1
TiC: Exploring Vision Transformer in ConvolutionCode1
Improved Baselines with Visual Instruction TuningCode6
Show:102550
← PrevPage 236 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