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 28112820 of 10420 papers

TitleStatusHype
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network0
A comparison of dense region detectors for image search and fine-grained classification0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision0
Embedding Complementary Deep Networks for Image Classification0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data0
Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation0
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection0
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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
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
10RevCol-HTop 1 Accuracy90Unverified