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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9726–9750 of 10420 papers

TitleStatusHype
Image edge enhancement for effective image classification—0
ImageEye: Batch Image Processing Using Program Synthesis—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Image Labeling on a Network: Using Social-Network Metadata for Image Classification—0
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images—0
Image Moment Invariants to Rotational Motion Blur—0
ImageNet MPEG-7 Visual Descriptors - Technical Report—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification—0
Image Recognition using Region Creep—0
Image Retrieval And Classification Using Local Feature Vectors—0
Image Retrieval based on Bag-of-Words model—0
Image Retrieval with Fisher Vectors of Binary Features—0
Image Segmentation Using Overlapping Group Sparsity—0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Imaging with Equivariant Deep Learning—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Imbalanced Malware Images Classification: a CNN based Approach—0
StackMix: A complementary Mix algorithm—0
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification—0
IM-Loss: Information Maximization Loss for Spiking Neural Networks—0
Immuno-mimetic Deep Neural Networks (Immuno-Net)—0
Impact of Aliasing on Generalization in Deep Convolutional Networks—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified