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 9351–9400 of 10420 papers

TitleStatusHype
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
HydraNets: Specialized Dynamic Architectures for Efficient Inference—0
Accurate and Efficient Similarity Search for Large Scale Face Recognition—0
Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks—0
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep LearningCode0
Rotation Equivariance and Invariance in Convolutional Neural NetworksCode0
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization—0
Multiaccuracy: Black-Box Post-Processing for Fairness in ClassificationCode0
Multi-function Convolutional Neural Networks for Improving Image Classification Performance—0
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels—0
Deep Learning under Privileged Information Using Heteroscedastic DropoutCode0
Object-Level Representation Learning for Few-Shot Image Classification—0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
CapsNet comparative performance evaluation for image classification—0
Adversarial Examples in Remote Sensing—0
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks—0
Calibrating Deep Convolutional Gaussian ProcessesCode0
Accelerating CNN inference on FPGAs: A Survey—0
Transductive Label Augmentation for Improved Deep Network Learning—0
Transfer Learning for Illustration ClassificationCode0
Do Better ImageNet Models Transfer Better?—0
Non-convex non-local flows for saliency detection—0
Hyperspectral image classification via a random patches networkCode0
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users—0
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching—0
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural NetworksCode0
Masking: A New Perspective of Noisy SupervisionCode0
Improving CNN classifiers by estimating test-time priors—0
Deep Predictive Coding Network with Local Recurrent Processing for Object RecognitionCode0
Neural Network Compression using Transform Coding and Clustering—0
Adversarial Structure Matching for Structured Prediction TasksCode0
Progressive Ensemble Networks for Zero-Shot Recognition—0
Image Classification Based on Quantum KNN Algorithm—0
Optical Neural Networks—0
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students—0
Energy Efficient Hadamard Neural Networks—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
Born Again Neural NetworksCode0
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo—0
Adaptive Selection of Deep Learning Models on Embedded Systems—0
Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model—0
Ensemble Soft-Margin Softmax Loss for Image Classification—0
Dense and Diverse Capsule Networks: Making the Capsules Learn BetterCode0
Laconic Deep Learning Computing—0
Anchor Cascade for Efficient Face Detection—0
Learning to Teach—0
Evaluating ResNeXt Model Architecture for Image ClassificationCode0
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing—0
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks—0
Label Embedding with Partial Heterogeneous Contexts—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