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

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Showing 7301–7350 of 10420 papers

TitleStatusHype
From images in the wild to video-informed image classification—0
Contextual Recurrent Convolutional Model for Robust Visual Learning—0
Patchnet: Interpretable Neural Networks for Image Classification—0
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding—0
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement—0
Patch-wise Features for Blur Image Classification—0
Contextual Local Explanation for Black Box Classifiers—0
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers—0
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification—0
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems—0
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos—0
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research—0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—0
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning—0
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—0
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs—0
From Artificial Intelligence to Brain Intelligence: The basis learning and memory algorithm for brain-like intelligence—0
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs—0
Term-Weighting Learning via Genetic Programming for Text Classification—0
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification—0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
Pooling Revisited: Your Receptive Field is Suboptimal—0
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator—0
PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks—0
Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers—0
PECAN: A Deterministic Certified Defense Against Backdoor Attacks—0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition—0
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
Frequency learning for image classification—0
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification—0
Frequency Dropout: Feature-Level Regularization via Randomized Filtering—0
A statistical theory of cold posteriors in deep neural networks—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset—0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Perceptual Hashing applied to Tor domains recognition—0
Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification—0
Perceptually Constrained Adversarial Attacks—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification—0
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism—0
Frequency Disentangled Residual Network—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