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 5101–5150 of 10420 papers

TitleStatusHype
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications—0
Clean-image Backdoor Attacks—0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer—0
A Comprehensive Survey of Transformers for Computer Vision—0
A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification—0
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane—0
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion—0
Evaluating Adversarial Robustness on Document Image Classification—0
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?—0
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism—0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks—0
Adversarial Examples for Semantic Image Segmentation—0
Class Subset Selection for Transfer Learning using Submodularity—0
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset—0
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space—0
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification—0
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance—0
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images—0
Class-Specific Channel Attention for Few-Shot Learning—0
Adaptive Gradient for Adversarial Perturbations Generation—0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends—0
Establishment of Neural Networks Robust to Label Noise—0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift—0
Appending Adversarial Frames for Universal Video Attack—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks—0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
Equivariant Neural Tangent Kernels—0
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification—0
A Physics-Inspired Optimizer: Velocity Regularized Adam—0
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique—0
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
Equivariance with Learned Canonicalization Functions—0
Class Instance Balanced Learning for Long-Tailed Classification—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Class-Incremental Mixture of Gaussians for Deep Continual Learning—0
A Perspective on Deep Vision Performance with Standard Image and Video Codecs—0
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection—0
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing—0
Adversarial Dropout Regularization—0
Entropy Induced Pruning Framework for Convolutional Neural Networks—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