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 8176–8200 of 10420 papers

TitleStatusHype
Decentralized Federated Learning Over Imperfect Communication Channels—0
All-Optical Information Processing Capacity of Diffractive Surfaces—0
Adaptive Adversarial Logits Pairing—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—0
Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks—0
StackMix: A complementary Mix algorithm—0
Imbalanced Malware Images Classification: a CNN based Approach—0
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Robust and Accurate Authorship Attribution via Program Normalization—0
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos—0
Robust Long-Tailed Learning under Label Noise—0
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification—0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Imaging with Equivariant Deep Learning—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
Image Segmentation Using Overlapping Group Sparsity—0
Image Retrieval with Fisher Vectors of Binary Features—0
Image Retrieval based on Bag-of-Words model—0
DebugAgent: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging—0
Image Retrieval And Classification Using Local Feature Vectors—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