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 2751–2800 of 10419 papers

TitleStatusHype
Differentially Private Video Activity Recognition—0
Predictive Coding beyond Correlations—0
FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention—0
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms—0
Probability Guided Loss for Long-Tailed Multi-Label Image Classification—0
Histopathology Image Classification using Deep Manifold Contrastive Learning—0
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks—0
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality—0
Exploring Data Redundancy in Real-world Image Classification through Data SelectionCode0
On Evaluating the Adversarial Robustness of Semantic Segmentation Models—0
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments—0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Towards quantum enhanced adversarial robustness in machine learning—0
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation ModelsCode1
To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations—0
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
Training Transformers with 4-bit IntegersCode1
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceCode0
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking—0
Efficient ResNets: Residual Network DesignCode1
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical ValidationCode0
Benchmark data to study the influence of pre-training on explanation performance in MR image classification—0
Balanced Mixture of SuperNets for Learning the CNN Pooling ArchitectureCode0
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksCode1
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization PathsCode0
Dynamic Perceiver for Efficient Visual RecognitionCode1
Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification—0
Masking meets Supervision: A Strong Learning AllianceCode1
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification—0
Shape Guided Gradient Voting for Domain Generalization—0
RemoteCLIP: A Vision Language Foundation Model for Remote SensingCode2
RaViTT: Random Vision Transformer Tokens—0
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
Scaling Open-Vocabulary Object DetectionCode0
FewSAR: A Few-shot SAR Image Classification BenchmarkCode1
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
Continual Adaptation of Vision Transformers for Federated LearningCode0
Label-noise-tolerant medical image classification via self-attention and self-supervised learning—0
Enlarged Large Margin Loss for Imbalanced ClassificationCode0
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images—0
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Modularity Trumps Invariance for Compositional RobustnessCode0
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
High-performance deep spiking neural networks with 0.3 spikes per neuron—0
Fast and Private Inference of Deep Neural Networks by Co-designing Activation FunctionsCode1
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization ApproachCode0
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image RecognitionCode1
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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