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 5576–5600 of 10420 papers

TitleStatusHype
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification—0
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization—0
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN—0
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images—0
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Attention Enables Zero Approximation Error—0
Harnessing The Power of Attention For Patch-Based Biomedical Image Classification—0
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning—0
Large Scale Neural Architecture Search with Polyharmonic Splines—0
Large-scale spatiotemporal photonic reservoir computer for image classification—0
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Large-scale Video Classification guided by Batch Normalized LSTM Translator—0
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions—0
deepTerra -- AI Land Classification Made Easy—0
Accelerating CNN inference on FPGAs: A Survey—0
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification—0
Cross-domain CNN for Hyperspectral Image Classification—0
Latent Domain Learning with Dynamic Residual Adapters—0
Latent Enhancing AutoEncoder for Occluded Image Classification—0
LatentGAN Autoencoder: Learning Disentangled Latent Distribution—0
Latent Model Ensemble with Auto-localization—0
AI-Based Copyright Detection Of An Image In a Video Using Degree Of Similarity And Image Hashing—0
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation—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