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 9176–9200 of 10420 papers

TitleStatusHype
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition—0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis—0
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network—0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction—0
Temporal-Spatial Mapping for Action Recognition—0
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks—0
Improved Techniques for Adversarial Discriminative Domain Adaptation—0
Learning to Zoom: a Saliency-Based Sampling Layer for Neural NetworksCode0
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution—0
Instance-based Deep Transfer Learning—0
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial ExamplesCode0
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations—0
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings—0
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification—0
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning—0
Domain transfer through deep activation matching—0
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane—0
Data Dropout: Optimizing Training Data for Convolutional Neural Networks—0
Correcting the Triplet Selection Bias for Triplet LossCode0
Geolocation Estimation of Photos using a Hierarchical Model and Scene ClassificationCode0
DetNet: Design Backbone for Object Detection—0
Open Set Learning with Counterfactual Images—0
Dynamic Conditional Networks for Few-Shot Learning—0
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification—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