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 2251–2300 of 10419 papers

TitleStatusHype
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing—0
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLOCode1
Learning to See Physical Properties with Active Sensing Motor Policies—0
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning—0
Continual atlas-based segmentation of prostate MRICode1
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification—0
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image ClassificationCode1
Are Natural Domain Foundation Models Useful for Medical Image Classification?Code1
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification—0
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual RecognitionCode2
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models—0
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications—0
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of NetworksCode0
RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis—0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote SensingCode1
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained ApproachCode0
Benchmark Generation Framework with Customizable Distortions for Image Classifier RobustnessCode0
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification—0
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data—0
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset—0
Semantic Generative Augmentations for Few-Shot CountingCode1
Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative TasksCode0
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP—0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
A Survey on Transferability of Adversarial Examples across Deep Neural NetworksCode1
MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited MemoryCode1
Sanity checks for patch visualisation in prototype-based image classification—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
Stochastic Gradient Sampling for Enhancing Neural Networks Training—0
Interferometric Neural NetworksCode0
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models—0
Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs—0
Vision-Language Pseudo-Labels for Single-Positive Multi-Label LearningCode1
Interpretable Medical Image Classification using Prototype Learning and Privileged InformationCode1
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge—0
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles—0
Federated learning compression designed for lightweight communicationsCode0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding—0
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling—0
Are LSTMs Good Few-Shot Learners?Code0
Conditional Consistency Regularization for Semi-Supervised Multi-label Image Classification—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Boosting for Bounding the Worst-class Error—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