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

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Showing 6751–6800 of 10420 papers

TitleStatusHype
Deep Transfer Learning for Person Re-identification—0
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset—0
Naturalizing Neuromorphic Vision Event Streams Using GANs—0
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift—0
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured—0
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training—0
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks—0
Latent Model Ensemble with Auto-localization—0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
LatentGAN Autoencoder: Learning Disentangled Latent Distribution—0
Deep transfer learning for image classification: a survey—0
Latent Enhancing AutoEncoder for Occluded Image Classification—0
Latent Domain Learning with Dynamic Residual Adapters—0
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification—0
Deep Transfer Learning for Few-Shot SAR Image Classification—0
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review—0
deepTerra -- AI Land Classification Made Easy—0
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification—0
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions—0
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification—0
Neonatal Pain Expression Recognition Using Transfer Learning—0
NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models—0
Large-scale Video Classification guided by Batch Normalized LSTM Translator—0
Deep tensor networks with matrix product operators—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Large Scale Transfer Learning for Differentially Private Image Classification—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage—0
Large-scale spatiotemporal photonic reservoir computer for image classification—0
Large Scale Neural Architecture Search with Polyharmonic Splines—0
Large Scale Multi-Domain Multi-Task Learning with MultiModel—0
Deep Supervision with Intermediate Concepts—0
Behavior of Mini-Batch Optimization for Training Deep Neural Networks on Large Datasets—0
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN—0
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization—0
Deep Spatial Pyramid: The Devil is Once Again in the Details—0
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification—0
Large-margin Learning of Compact Binary Image Encodings—0
DeepSetNet: Predicting Sets with Deep Neural Networks—0
Neural Architecture Design and Robustness: A Dataset—0
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting—0
An Algorithm for Routing Vectors in Sequences—0
Large Language Models Implicitly Learn to See and Hear Just By Reading—0
Neural Architecture Search for Deep Face Recognition—0
Large e-retailer image dataset for visual search and product classification—0
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model—0
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis—0
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions—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