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 6801–6850 of 10420 papers

TitleStatusHype
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—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
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images—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
Neural Delay Differential Equations: System Reconstruction and Image Classification—0
Neural Dependencies Emerging from Learning Massive Categories—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
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
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
An Algorithm for Routing Capsules in All Domains—0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization—0
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment—0
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance—0
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization—0
Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Deep Self-Learning From Noisy Labels—0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification—0
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Landscape of Neural Architecture Search across sensors: how much do they differ ?—0
Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks—0
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units—0
Ladder Networks for Semi-Supervised Hyperspectral Image Classification—0
Deep Scene Image Classification With the MFAFVNet—0
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results—0
Bayesian Test-Time Adaptation for Vision-Language Models—0
LaCoOT: Layer Collapse through Optimal Transport—0
Laconic Image Classification: Human vs. Machine Performance—0
Laconic Deep Learning Computing—0
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization—0
Neurosymbolic hybrid approach to driver collision warning—0
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification—0
Label-similarity Curriculum Learning—0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
Label-noise-tolerant medical image classification via self-attention and self-supervised learning—0
Label Geometry Aware Discriminator for Conditional Generative Networks—0
Label Embedding with Partial Heterogeneous Contexts—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