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 6801–6825 of 10420 papers

TitleStatusHype
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—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
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images—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
Neural Delay Differential Equations: System Reconstruction and Image Classification—0
Neural Dependencies Emerging from Learning Massive Categories—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
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
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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
10RevCol-HTop 1 Accuracy90—Unverified