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 5151–5175 of 10420 papers

TitleStatusHype
Towards Adversarial Robustness of Deep Vision Algorithms—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical ProjectionsCode0
TensAIR: Real-Time Training of Neural Networks from Data-streamsCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Vision Transformers in Medical Imaging: A Review—0
Efficient Feature Compression for Edge-Cloud SystemsCode0
Data-Centric Debugging: mitigating model failures via targeted data collection—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Local Magnification for Data and Feature Augmentation—0
Bayesian Federated Neural Matching that Completes Full Information—0
Will Large-scale Generative Models Corrupt Future Datasets?Code0
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle—0
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning—0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Scalar Invariant Networks with Zero Bias—0
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing—0
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
VCI-LSTM: Vector Choquet Integral-based Long Short-Term Memory—0
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification—0
Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity—0
Sign Language to Text Conversion in Real Time using Transfer Learning—0
MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data—0
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning—0
A Comprehensive Survey of Transformers for Computer Vision—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified