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 2151–2200 of 10419 papers

TitleStatusHype
PHG-Net: Persistent Homology Guided Medical Image ClassificationCode1
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic SegmentationCode0
Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning—0
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent—0
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model—0
SUT: a new multi-purpose synthetic dataset for Farsi document image analysisCode0
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review—0
Adversarial Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights—0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image RecognitionCode3
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
Advancing Vision Transformers with Group-Mix AttentionCode1
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]—0
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image ClassificationCode0
One-bit Supervision for Image Classification: Problem, Solution, and Beyond—0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning—0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
Adapter is All You Need for Tuning Visual TasksCode2
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification—0
Learning in Deep Factor Graphs with Gaussian Belief PropagationCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image ClassificationCode0
Hardware Resilience Properties of Text-Guided Image ClassifiersCode0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
EA-KD: Entropy-based Adaptive Knowledge Distillation—0
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification—0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration—0
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization—0
Learning to Complement with Multiple Humans—0
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack DetectionCode0
DAS: A Deformable Attention to Capture Salient Information in CNNs—0
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches—0
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingCode0
LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual DescriptionsCode1
Asynchronous Bioplausible Neuron for SNN for Event Vision—0
Benchmarking Pathology Feature Extractors for Whole Slide Image ClassificationCode1
Few-Shot Classification & Segmentation Using Large Language Models Agent—0
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
SENetV2: Aggregated dense layer for channelwise and global representationsCode0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Supervised structure learning—0
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification—0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients—0
Assurance for Deployed Continual Learning Systems—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images—0
Domain Aligned CLIP for Few-shot Classification—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