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 626650 of 10419 papers

TitleStatusHype
Attention-Based Second-Order Pooling Network for Hyperspectral Image ClassificationCode1
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image ClassificationCode1
Dataset Condensation with Contrastive SignalsCode1
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and EnsembleCode1
Attentional-Biased Stochastic Gradient DescentCode1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
Adaptive Edge Offloading for Image Classification Under Rate LimitCode1
Attentional Feature FusionCode1
DataMUX: Data Multiplexing for Neural NetworksCode1
DC3DCD: unsupervised learning for multiclass 3D point cloud change detectionCode1
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image ClassificationCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
DARTS: Differentiable Architecture SearchCode1
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character RecognitionCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
CvT: Introducing Convolutions to Vision TransformersCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
AlphaNet: Improved Training of Supernets with Alpha-DivergenceCode1
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified