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 9876–9900 of 10420 papers

TitleStatusHype
Spatially Adaptive Computation Time for Residual NetworksCode0
Revisiting Winner Take All (WTA) Hashing for Sparse Datasets—0
Simple and Scalable Predictive Uncertainty Estimation using Deep EnsemblesVerified2
Multi-Label Image Classification with Regional Latent Semantic Dependencies—0
Pyramid Scene Parsing NetworkCode1
Food Image Recognition by Using Convolutional Neural Networks (CNNs)Code0
Object-Centric Representation Learning from Unlabeled Videos—0
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image ClassificationCode0
Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation—0
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses—0
Monge's Optimal Transport Distance for Image Classification—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Gaze Embeddings for Zero-Shot Image Classification—0
DeepSetNet: Predicting Sets with Deep Neural Networks—0
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning—0
Distributed Optimization of Multi-Class SVMsCode0
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation—0
Image Segmentation Using Overlapping Group Sparsity—0
Multigrid Neural ArchitecturesCode0
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
Semi-Supervised Learning with Context-Conditional Generative Adversarial NetworksCode1
DeepVO: A Deep Learning approach for Monocular Visual Odometry—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