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 5951–6000 of 10420 papers

TitleStatusHype
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Vision Transformers are Robust LearnersCode1
Dermoscopic Image Classification with Neural Style Transfer—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Semi-Supervised Classification and Segmentation on High Resolution Aerial ImagesCode1
Real-time Detection of Practical Universal Adversarial Perturbations—0
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers—0
Analyzing Images for Music Recommendation—0
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model ConfigurationsCode1
Improved Algorithms for Agnostic Pool-based Active Classification—0
Adaptive Test-Time Augmentation for Low-Power CPU—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
Segmenter: Transformer for Semantic SegmentationCode1
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-LabelsCode0
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay—0
Label Geometry Aware Discriminator for Conditional Generative Networks—0
A Graph Neural Network Approach for Product Relationship Prediction—0
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification—0
Image Classification with Classic and Deep Learning TechniquesCode0
AFINet: Attentive Feature Integration Networks for Image Classification—0
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery—0
In-Hindsight Quantization Range Estimation for Quantized Training—0
Robust Training Using Natural Transformation—0
A Bregman Learning Framework for Sparse Neural NetworksCode1
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy LabelsCode1
A framework for the automation of testing computer vision systems—0
DiagSet: a dataset for prostate cancer histopathological image classificationCode1
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsamplingCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture—0
Dynamic Game Theoretic Neural Optimizer—0
MetaKernel: Learning Variational Random Features with Limited LabelsCode0
Incompatibility Clustering as a Defense Against Backdoor Poisoning AttacksCode0
Exploring Instance Relations for Unsupervised Feature EmbeddingCode0
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsCode1
ResMLP: Feedforward networks for image classification with data-efficient trainingCode1
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Few-Shot Learning for Image Classification of Common FloraCode0
Relative stability toward diffeomorphisms indicates performance in deep netsCode0
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled ExperimentsCode0
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNetCode1
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image ClassificationCode1
VideoLT: Large-scale Long-tailed Video RecognitionCode1
Local descriptor-based multi-prototype network for few-shot Learning—0
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic SpaceCode1
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
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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