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 6051–6100 of 10420 papers

TitleStatusHype
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning—0
Graph Neural Networks for Image Classification and Reinforcement Learning using Graph representations—0
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping—0
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond—0
Counterfactual Influence as a Distributional Quantity—0
A Transformer-in-Transformer Network Utilizing Knowledge Distillation for Image Recognition—0
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet—0
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations—0
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification—0
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning—0
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis—0
MixMobileNet: A Mixed Mobile Network for Edge Vision Applications—0
GFCN: A New Graph Convolutional Network Based on Parallel Flows—0
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer—0
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification—0
Low-rank features based double transformation matrices learning for image classification—0
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey—0
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification—0
Misaligned orientations of 4f optical neural network for image classification accuracy on various datasets—0
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks—0
Graph Clustering With Missing Data: Convex Algorithms and Analysis—0
Graph Classification with Geometric Scattering—0
Graph-based Representation for Image based on Granular-ball—0
Graph based Label Enhancement for Multi-instance Multi-label learning—0
Co-Training 2L Submodels for Visual Recognition—0
A High-Performance Adaptive Quantization Approach for Edge CNN Applications—0
Co-training 2^L Submodels for Visual Recognition—0
Graph Based Convolutional Neural Network—0
On the Robustness of Malware Detectors to Adversarial Samples—0
Graph-Based Classification of Omnidirectional Images—0
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks—0
Grafting Vision Transformers—0
MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework—0
MABViT -- Modified Attention Block Enhances Vision Transformers—0
Active Self-Semi-Supervised Learning for Few Labeled Samples—0
Grafit: Learning fine-grained image representations with coarse labels—0
Machine Learning and Thermography Applied to the Detection and Classification of Cracks in Building—0
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review—0
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection—0
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data—0
Machine learning for option pricing: an empirical investigation of network architectures—0
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models—0
Minority Reports Defense: Defending Against Adversarial Patches—0
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves—0
Machine Learning with DBOS—0
Machine learning with limited data—0
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout—0
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models—0
Show:102550
← PrevPage 122 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