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 38513860 of 10420 papers

TitleStatusHype
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
Exploring Randomly Wired Neural Networks for Image RecognitionCode0
Semi-Supervised Deep Learning with MemoryCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
DATA: Differentiable ArchiTecture ApproximationCode0
Adapting Object Detectors via Selective Cross-Domain AlignmentCode0
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle librariesCode0
Exploring Target Representations for Masked AutoencodersCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
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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