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 981990 of 10420 papers

TitleStatusHype
Automatically designing CNN architectures using genetic algorithm for image classificationCode1
Are These Birds Similar: Learning Branched Networks for Fine-grained RepresentationsCode1
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image ClassificationCode1
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization PerspectiveCode1
How to train your ViT? Data, Augmentation, and Regularization in Vision TransformersCode1
How Well Do Self-Supervised Models Transfer?Code1
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight TransformersCode1
Multi-Scale High-Resolution Vision Transformer for Semantic SegmentationCode1
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean SpaceCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
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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