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 38213830 of 10420 papers

TitleStatusHype
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced DataCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Accelerating Training of Deep Neural Networks with a Standardization LossCode0
Identifying Adversarially Attackable and Robust SamplesCode0
Selective sampling for accelerating training of deep neural networksCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
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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