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 7051–7100 of 10420 papers

TitleStatusHype
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Baybayin Character Instance Detection—0
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations—0
On Parameter Tuning in Meta-learning for Computer Vision—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition—0
Deep Neural Networks Fused with Textures for Image Classification—0
On Space Folds of ReLU Neural Networks—0
On Study of the Binarized Deep Neural Network for Image Classification—0
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification—0
On the ability of CNNs to extract color invariant intensity based features for image classification—0
On the Activation Function Dependence of the Spectral Bias of Neural Networks—0
Deep Neural Networks for Pattern Recognition—0
Kernel Descriptors for Visual Recognition—0
On the benefits of robust models in modulation recognition—0
Deep Neural Networks for Object Detection—0
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent—0
On the Confidence of Neural Network Predictions for some NLP Tasks—0
On the Convergence of Continual Learning with Adaptive Methods—0
KerCNNs: biologically inspired lateral connections for classification of corrupted images—0
Deep Neural Networks for Marine Debris Detection in Sonar Images—0
Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift—0
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning—0
Keep your distance: learning dispersed embeddings on S_m—0
On the Effectiveness of Deep Ensembles for Small Data Tasks—0
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation—0
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition—0
Deep Neural Networks and PIDE discretizations—0
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
Deep Neural Networks—0
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization—0
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains—0
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours—0
Adaptive Mixture of Low-Rank Factorizations for Compact Neural Modeling—0
KANs for Computer Vision: An Experimental Study—0
Deep neural network loses attention to adversarial images—0
KAN-Mixers: a new deep learning architecture for image classification—0
An Optimization and Generalization Analysis for Max-Pooling Networks—0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches—0
On the Initial Behavior Monitoring Issues in Federated Learning—0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
Batch Group Normalization—0
Just rotate it! Uncertainty estimation in closed-source models via multiple queries—0
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation—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