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 2951–3000 of 10419 papers

TitleStatusHype
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space—0
Bundle Optimization for Multi-aspect Embedding—0
Building Vision Transformers with Hierarchy Aware Feature Aggregation—0
A New Ensemble Method for Concessively Targeted Multi-model Attack—0
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks—0
A New Distance Measure for Non-Identical Data with Application to Image Classification—0
ADINet: Attribute Driven Incremental Network for Retinal Image Classification—0
A Differential Game Theoretic Neural Optimizer for Training Residual Networks—0
Building Human-like Communicative Intelligence: A Grounded Perspective—0
Building Efficient Lightweight CNN Models—0
A New Deep Neural Architecture Search Pipeline for Face Recognition—0
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach—0
Building extraction with vision transformer—0
A new dataset of dog breed images and a benchmark for fine-grained classification—0
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism—0
Event-Based Control for Online Training of Neural Networks—0
Buffer Zone based Defense against Adversarial Examples in Image Classification—0
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems—0
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks—0
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction—0
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition—0
Equivariant Neural Tangent Kernels—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization—0
Broad Adversarial Training with Data Augmentation in the Output Space—0
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks—0
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection—0
Equivariance with Learned Canonicalization Functions—0
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network—0
An evaluation of pre-trained models for feature extraction in image classification—0
Breast Tumor Classification and Segmentation using Convolutional Neural Networks—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
A deep primal-dual proximal network for image restoration—0
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—0
A Neural ODE Interpretation of Transformer Layers—0
Breast Cancer Image Classification Method Based on Deep Transfer Learning—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Breast Cancer Diagnosis Using Machine Learning Techniques—0
A Combinatorial Approach to Neural Emergent Communication—0
Entropy Induced Pruning Framework for Convolutional Neural Networks—0
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures—0
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack—0
A Neural Markovian Multiresolution Image Labeling Algorithm—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