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 37613770 of 10420 papers

TitleStatusHype
DBIA: Data-free Backdoor Injection Attack against Transformer NetworksCode0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
CMVAE: Causal Meta VAE for Unsupervised Meta-LearningCode0
Explainability of Deep Neural Networks for Brain Tumor DetectionCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Robust Stable Spiking Neural NetworksCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental DataCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified