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 40714080 of 10420 papers

TitleStatusHype
Depthwise-STFT based separable Convolutional Neural Networks0
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization0
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification0
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread0
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs0
Feedback Control for Online Training of Neural Networks0
flexgrid2vec: Learning Efficient Visual Representations Vectors0
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification0
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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