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 5201–5250 of 10420 papers

TitleStatusHype
Crowdsourcing with Meta-Workers: A New Way to Save the Budget—0
LatentGAN Autoencoder: Learning Disentangled Latent Distribution—0
Crowd-Powered Data Mining—0
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving—0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think—0
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks—0
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification—0
Latent Domain Learning with Dynamic Residual Adapters—0
Latent Model Ensemble with Auto-localization—0
Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Accelerating Gossip SGD with Periodic Global Averaging—0
Hilbert Sinkhorn Divergence for Optimal Transport—0
Hilbert Curve Based Molecular Sequence Analysis—0
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology—0
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging—0
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions—0
Deep FisherNet for Object Classification—0
Incorporating Semantic Attention in Video Description Generation—0
Deep Fisher Networks for Large-Scale Image Classification—0
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing—0
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers—0
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring—0
Incremental Few-Shot Learning via Implanting and Compressing—0
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing—0
Large-scale Video Classification guided by Batch Normalized LSTM Translator—0
Latent Time Neural Ordinary Differential Equations—0
High Performance Hyperspectral Image Classification using Graphics Processing Units—0
Incremental Learning Through Deep Adaptation—0
High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach—0
Incremental multi-domain learning with network latent tensor factorization—0
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors—0
Incremental Open-set Domain Adaptation—0
CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner—0
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification—0
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification—0
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning—0
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning—0
Deep Hashing: A Joint Approach for Image Signature Learning—0
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification—0
Indoor image representation by high-level semantic features—0
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS—0
High Frequency Residual Learning for Multi-Scale Image Classification—0
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Show:102550
← PrevPage 105 of 209Next →
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