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 3051–3100 of 10419 papers

TitleStatusHype
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations—0
Teacher Network Calibration Improves Cross-Quality Knowledge DistillationCode0
From Online Behaviours to Images: A Novel Approach to Social Bot Detection—0
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image AnalysisCode0
ODSmoothGrad: Generating Saliency Maps for Object Detectors—0
Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning—0
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI ImagesCode0
DINOv2: Learning Robust Visual Features without SupervisionCode6
Scale Federated Learning for Label Set Mismatch in Medical Image ClassificationCode0
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks—0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
TransHP: Image Classification with Hierarchical PromptingCode1
Remote Sensing Change Detection With Transformers Trained from ScratchCode1
Boosting Convolutional Neural Networks with Middle Spectrum Grouped ConvolutionCode1
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies—0
Learning Accurate Performance Predictors for Ultrafast Automated Model CompressionCode0
Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel SpaceCode0
ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification—0
Towards Evaluating Explanations of Vision Transformers for Medical ImagingCode1
Unicom: Universal and Compact Representation Learning for Image RetrievalCode2
Semantic-Aware Mixup for Domain GeneralizationCode0
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA—0
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration—0
A priori compression of convolutional neural networks for wave simulators—0
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural NetworksCode0
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per classCode0
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
DartsReNet: Exploring new RNN cells in ReNet architecturesCode0
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data—0
Neural Delay Differential Equations: System Reconstruction and Image Classification—0
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual RecognitionCode2
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
Are Visual Recognition Models Robust to Image Compression?—0
Use the Detection Transformer as a Data AugmenterCode0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning—0
Arithmetic Intensity Balancing Convolution for Hardware-aware Efficient Block Design—0
Universal Semi-Supervised Learning for Medical Image ClassificationCode0
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks—0
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning—0
MC-MLP:Multiple Coordinate Frames in all-MLP Architecture for VisionCode0
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
Can we learn better with hard samples?Code0
PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift—0
SparseFormer: Sparse Visual Recognition via Limited Latent TokensCode1
Meta-causal Learning for Single Domain Generalization—0
ElegansNet: a brief scientific report and initial experiments—0
Source-free Domain Adaptation Requires Penalized Diversity—0
ImageEye: Batch Image Processing Using Program Synthesis—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