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 20512060 of 10420 papers

TitleStatusHype
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyCode4
Transformers in Unsupervised Structure-from-MotionCode1
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations0
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification0
Semantic-Aware Autoregressive Image Modeling for Visual Representation LearningCode1
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classificationCode0
Gradient-based Parameter Selection for Efficient Fine-TuningCode1
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
A Survey of Classical And Quantum Sequence ModelsCode1
Improving Cross-domain Few-shot Classification with Multilayer PerceptronCode1
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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