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 14011410 of 10420 papers

TitleStatusHype
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)Code1
Information Bottleneck Approach to Spatial Attention LearningCode1
Unifying Nonlocal Blocks for Neural NetworksCode1
Instance Similarity Learning for Unsupervised Feature RepresentationCode1
Generic Neural Architecture Search via RegressionCode1
Domain Generalization via Gradient SurgeryCode1
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision TransformerCode1
Vision Transformer with Progressive SamplingCode1
Group Fisher Pruning for Practical Network CompressionCode1
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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