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 9901–9950 of 10420 papers

TitleStatusHype
Improving training of deep neural networks via Singular Value Bounding—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
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization—0
PolyNet: A Pursuit of Structural Diversity in Very Deep NetworksCode0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
S3Pool: Pooling with Stochastic Spatial SamplingCode0
Deep Transfer Learning for Person Re-identification—0
Aggregated Residual Transformations for Deep Neural NetworksCode1
Constrained Low-Rank Learning Using Least Squares-Based Regularization—0
Automatic discovery of discriminative parts as a quadratic assignment problem—0
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network—0
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes—0
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification—0
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification—0
X-ray Scattering Image Classification Using Deep Learning—0
Understanding deep learning requires rethinking generalizationCode0
Delving into Transferable Adversarial Examples and Black-box AttacksCode0
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization—0
Designing Neural Network Architectures using Reinforcement LearningCode0
Does Distributionally Robust Supervised Learning Give Robust Classifiers?—0
Neural Architecture Search with Reinforcement LearningCode0
Learning Identity Mappings with Residual Gates—0
Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning RatesCode0
A New Distance Measure for Non-Identical Data with Application to Image Classification—0
Compressed Learning: A Deep Neural Network ApproachCode0
Doubly Convolutional Neural Networks—0
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics—0
Fast Low-rank Shared Dictionary Learning for Image ClassificationCode0
Maxmin convolutional neural networks for image classification—0
Optimization on Submanifolds of Convolution Kernels in CNNs—0
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification—0
Multi-view metric learning for multi-instance image classification—0
Safety Verification of Deep Neural NetworksCode0
Spatio-Temporal Attention Models for Grounded Video Captioning—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
Person Re-identification: Past, Present and Future—0
Deep Pyramidal Residual NetworksCode0
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationCode1
Xception: Deep Learning with Depthwise Separable ConvolutionsCode0
QSGD: Communication-Efficient SGD via Gradient Quantization and EncodingCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Fast Image Classification by Boosting Fuzzy Classifiers—0
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification—0
Graph Based Convolutional Neural Network—0
Image Retrieval with Fisher Vectors of Binary Features—0
Dropout with Expectation-linear Regularization—0
Glasses Detection Using Convolutional Neural Networks—0
Matrix Variate RBM Model with Gaussian Distributions—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