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 9926–9950 of 10420 papers

TitleStatusHype
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation—0
Multigrid Neural ArchitecturesCode0
Image Segmentation Using Overlapping Group Sparsity—0
Exploiting Web Images for Dataset Construction: A Domain Robust Approach—0
ResFeats: Residual Network Based Features for Image Classification—0
Training Sparse Neural Networks—0
Improving training of deep neural networks via Singular Value Bounding—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Expert Gate: Lifelong Learning with a Network of ExpertsCode0
Generalized BackPropagation, Étude De Cas: Orthogonality—0
Inverting The Generator Of A Generative Adversarial Network—0
PolyNet: A Pursuit of Structural Diversity in Very Deep NetworksCode0
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization—0
Deep Transfer Learning for Person Re-identification—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
S3Pool: Pooling with Stochastic Spatial SamplingCode0
Constrained Low-Rank Learning Using Least Squares-Based Regularization—0
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes—0
Automatic discovery of discriminative parts as a quadratic assignment problem—0
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network—0
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification—0
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification—0
Understanding deep learning requires rethinking generalizationCode0
X-ray Scattering Image Classification Using Deep Learning—0
Delving into Transferable Adversarial Examples and Black-box AttacksCode0
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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
10RevCol-HTop 1 Accuracy90—Unverified