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 5551–5600 of 10420 papers

TitleStatusHype
HDF: Hybrid Deep Features for Scene Image Representation—0
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition—0
Ladder Networks for Semi-Supervised Hyperspectral Image Classification—0
Have Large Vision-Language Models Mastered Art History?—0
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units—0
Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks—0
Deep Scene Image Classification With the MFAFVNet—0
Landscape of Neural Architecture Search across sensors: how much do they differ ?—0
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection—0
Bayesian Test-Time Adaptation for Vision-Language Models—0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification—0
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems—0
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations—0
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings—0
Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model—0
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Hashing on Nonlinear Manifolds—0
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms—0
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding—0
HASeparator: Hyperplane-Assisted Softmax—0
Large e-retailer image dataset for visual search and product classification—0
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images—0
Large Language Models Implicitly Learn to See and Hear Just By Reading—0
Cross Domain Ensemble Distillation for Domain Generalization—0
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
Show:102550
← PrevPage 112 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