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 6276–6300 of 10420 papers

TitleStatusHype
Barlow Twins: Self-Supervised Learning via Redundancy ReductionCode1
Perceiver: General Perception with Iterative AttentionCode1
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval—0
Learning Invariant Representations across Domains and Tasks—0
Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification—0
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks—0
Augmentation Strategies for Learning with Noisy LabelsCode1
Fast Adaptation with Linearized Neural Networks—0
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization—0
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths—0
Self-supervised Pretraining of Visual Features in the Wild—0
Comparison of Methods Generalizing Max- and Average-Pooling—0
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition—0
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning—0
Maximal function pooling with applications—0
Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks—0
Diversifying Sample Generation for Accurate Data-Free Quantization—0
Moroccan Dialect -Darija- Open DatasetCode1
Virus-MNIST: A Benchmark Malware Dataset—0
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation—0
Semi-supervised Learning for COVID-19 Image Classification via ResNet—0
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset SelectionCode1
Transformer in TransformerCode1
Statistical Measures For Defining Curriculum Scoring FunctionCode0
Variational Laplace for Bayesian neural networks—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