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 13511375 of 10420 papers

TitleStatusHype
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine SynergyCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Barlow Twins: Self-Supervised Learning via Redundancy ReductionCode1
Fully Hyperbolic Convolutional Neural Networks for Computer VisionCode1
Hyperbolic Image EmbeddingsCode1
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
batchboost: regularization for stabilizing training with resistance to underfitting & overfittingCode1
AdaptiveMix: Improving GAN Training via Feature Space ShrinkageCode1
End-to-End Incremental LearningCode1
Convolutional Xformers for VisionCode1
Convolutional Spiking Neural Networks for Spatio-Temporal Feature ExtractionCode1
Convolution-enhanced Evolving Attention NetworksCode1
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftCode1
iBOT: Image BERT Pre-Training with Online TokenizerCode1
iDAT: inverse Distillation Adapter-TuningCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
Image Classification with Small Datasets: Overview and BenchmarkCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Bayesian continual learning and forgetting in neural networksCode1
ImageNet-21K Pretraining for the MassesCode1
ImageNet Large Scale Visual Recognition ChallengeCode1
Energy-Latency Attacks via Sponge PoisoningCode1
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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