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 271280 of 10419 papers

TitleStatusHype
LibFewShot: A Comprehensive Library for Few-shot LearningCode2
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
AutoFormer: Searching Transformers for Visual RecognitionCode2
BEiT: BERT Pre-Training of Image TransformersCode2
Knowledge distillation: A good teacher is patient and consistentCode2
Beyond Self-attention: External Attention using Two Linear Layers for Visual TasksCode2
Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsCode2
Involution: Inverting the Inherence of Convolution for Visual RecognitionCode2
Learning Transferable Visual Models From Natural Language SupervisionCode2
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural NetworksCode2
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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