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 6001–6050 of 10420 papers

TitleStatusHype
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers—0
Negative Evidence Matters in Interpretable Histology Image ClassificationCode0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network—0
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of RobustnessCode0
Synthesizer Based Efficient Self-Attention for Vision Tasks—0
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection—0
AI visualization in Nanoscale Microscopy—0
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification—0
An analysis of over-sampling labeled data in semi-supervised learning with FixMatchCode0
Gaussian-Hermite Moment Invariants of General Multi-Channel Functions—0
Building Human-like Communicative Intelligence: A Grounded Perspective—0
Riemannian Nearest-Regularized Subspace Classification for Polarimetric SAR images—0
Turath-150K: Image Database of Arab Heritage—0
Learning To Collaborate in Decentralized Learning of Personalized Models—0
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition—0
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization—0
Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique—0
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations—0
Semi-Supervised Few-Shot Learning via Multi-Factor ClusteringCode0
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AICode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
Two-phase training mitigates class imbalance for camera trap image classification with CNNsCode0
Super-Efficient Super Resolution for Fast Adversarial Defense at the EdgeCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
An Empirical Study of Adder Neural Networks for Object Detection—0
ViR:the Vision Reservoir—0
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision—0
Deep Curriculum Learning for PolSAR Image Classification—0
Virtuoso: Video-based Intelligence for real-time tuning on SOCs—0
Latent Time Neural Ordinary Differential Equations—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
AED: An black-box NLP classifier model attacker—0
Dynamically Stable Poincaré Embeddings for Neural Manifolds—0
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint—0
Cross-Part Learning for Fine-Grained Image ClassificationCode0
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift—0
Learning with Label Noise for Image Retrieval by Selecting Interactions—0
A Vision-based Solution for Track Misalignment Detection—0
General Greedy De-bias LearningCode0
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning—0
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey—0
Soundify: Matching Sound Effects to Video—0
Rank4Class: A Ranking Formulation for Multiclass Classification—0
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-raysCode0
A Simple Single-Scale Vision Transformer for Object Localization and Instance SegmentationCode0
Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers—0
Learning Interpretable Models Through Multi-Objective Neural Architecture SearchCode0
Use Image Clustering to Facilitate Technology Assisted Review—0
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation—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