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 7301–7350 of 10420 papers

TitleStatusHype
Investigating the Catastrophic Forgetting in Multimodal Large Language Models—0
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study—0
Patchnet: Interpretable Neural Networks for Image Classification—0
Investigating Bias in Image Classification using Model Explanations—0
Deep Learning Techniques for Geospatial Data Analysis—0
Patch-wise Features for Blur Image Classification—0
Balance Divergence for Knowledge Distillation—0
A multicategory jet image classification framework using deep neural network—0
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis—0
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning—0
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—0
Deep Learning Solutions for TanDEM-X-based Forest Classification—0
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos—0
Inverting The Generator Of A Generative Adversarial Network—0
Inverted Semantic-Index for Image Retrieval—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Invariant Scattering Transform for Medical Imaging—0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset—0
Deep learning pipeline for image classification on mobile phones—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks—0
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification—0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
Invariance vs Robustness of Neural Networks—0
Deep Learning is Robust to Massive Label Noise—0
Bag of Tricks with Quantized Convolutional Neural Networks for image classification—0
Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers—0
PECAN: A Deterministic Certified Defense Against Backdoor Attacks—0
Amortized Proximal Optimization—0
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network—0
Invariance-Guided Feature Evolution for Few-Shot Learning—0
Deep Learning in the Automotive Industry: Applications and Tools—0
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification—0
Intrusion Detection: Machine Learning Baseline Calculations for Image Classification—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
Introspection for convolutional automatic speech recognition—0
Introduction to Camera Pose Estimation with Deep Learning—0
Introducing the structural bases of typicality effects in deep learning—0
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data—0
Introducing Fuzzy Layers for Deep Learning—0
Robustness via Deep Low-Rank Representations—0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations—0
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs—0
Intra-Model Collaborative Learning of Neural Networks—0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified