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 6376–6400 of 10420 papers

TitleStatusHype
Soccer Event Detection Using Deep Learning—0
Mitigating belief projection in explainable artificial intelligence via Bayesian TeachingCode0
Open-World Semi-Supervised LearningCode1
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization—0
Privacy-Preserving Video Classification with Convolutional Neural Networks—0
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksCode1
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Hyperspherical embedding for novel class classification—0
On the Reproducibility of Neural Network Predictions—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
A Deeper Look into Convolutions via Eigenvalue-based PruningCode0
Mask Guided Attention For Fine-Grained Patchy Image ClassificationCode1
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images—0
Multi-Instance Learning by Utilizing Structural Relationship among Instances—0
Deep CNNs for large scale species classification—0
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded PlatformsCode1
Probabilistic Trust Intervals for Out of Distribution DetectionCode0
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image ClassificationCode1
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition—0
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators—0
Few-shot Image Classification with Multi-Facet Prototypes—0
[Re] Can gradient clipping mitigate label noise?—0
[Re] A Reproduction of Ensemble Distribution DistillationCode0
Show:102550
← PrevPage 256 of 417Next →
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