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 6901–6950 of 10420 papers

TitleStatusHype
Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach—0
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks—0
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification—0
Gastrointestinal Disorder Detection with a Transformer Based Approach—0
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes—0
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection—0
NOSE Augment: Fast and Effective Data Augmentation Without Searching—0
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation—0
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification—0
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification—0
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders—0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
Contractive error feedback for gradient compression—0
On the interplay of adversarial robustness and architecture components: patches, convolution and attention—0
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
Now You See Me: Robust approach to Partial Occlusions—0
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network—0
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision—0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—0
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware—0
A Supervised STDP-based Training Algorithm for Living Neural Networks—0
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Object-Centric Representation Learning from Unlabeled Videos—0
On the rate of convergence of image classifiers based on convolutional neural networks—0
Object-centric Sampling for Fine-grained Image Classification—0
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks—0
Object Detection on Single Monocular Images through Canonical Correlation Analysis—0
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification—0
Object-Level Representation Learning for Few-Shot Image Classification—0
On the Validity of Bayesian Neural Networks for Uncertainty Estimation—0
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models—0
Object-oriented backdoor attack against image captioning—0
Efficient, probabilistic analysis of combinatorial neural codes—0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification—0
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Continuous-Time Meta-Learning with Forward Mode Differentiation—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
A General Upper Bound for Unsupervised Domain Adaptation—0
Occupancy Detection in Vehicles Using Fisher Vector Image Representation—0
On the Impact of Data Quality on Image Classification Fairness—0
OCFormer: One-Class Transformer Network for Image Classification—0
OCR, Classification & Machine Translation (OCCAM)—0
Fuzzy Pooling—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