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 3901–3950 of 10420 papers

TitleStatusHype
Image Classification using Sequence of Pixels—0
Robust Collaborative Learning with Linear Gradient OverheadCode0
Capsule Network based Contrastive Learning of Unsupervised Visual RepresentationsCode1
Mega: Moving Average Equipped Gated AttentionCode2
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress ClassificationCode0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image ClassificationCode2
Frequency Dropout: Feature-Level Regularization via Randomized Filtering—0
Dynamic Graph Message Passing Networks for Visual RecognitionCode1
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence—0
Relaxed Attention for Transformer Models—0
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 DiagnosisCode1
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks—0
S^3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification—0
On the Adversarial Transferability of ConvMixer Models—0
Semantic Segmentation using Neural Ordinary Differential Equations—0
Deep tensor networks with matrix product operators—0
Enhance the Visual Representation via Discrete Adversarial TrainingCode0
Towards Bridging the Performance Gaps of Joint Energy-based ModelsCode0
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods—0
A Mosquito is Worth 16x16 Larvae: Evaluation of Deep Learning Architectures for Mosquito Larvae ClassificationCode0
Continual Learning with Dependency Preserving Hypernetworks—0
Continual Learning for Class- and Domain-Incremental Semantic Segmentation—0
Confidence-Guided Data Augmentation for Improved Semi-Supervised Training—0
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language ModelsCode2
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
Visual Recognition with Deep Nearest CentroidsCode1
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data—0
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition—0
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
On the interplay of adversarial robustness and architecture components: patches, convolution and attention—0
A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food—0
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation—0
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
ConvNeXt Based Neural Network for Audio Anti-SpoofingCode0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends—0
Learning Deep Optimal Embeddings with Sinkhorn Divergences—0
DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep LearningCode1
Revisiting Neural Scaling Laws in Language and Vision—0
Unsupervised representation learning with recognition-parametrised probabilistic modelsCode0
Class-Level Logit PerturbationCode0
Virtual Underwater Datasets for Autonomous Inspections—0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation—0
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision TransformersCode1
Moving from 2D to 3D: volumetric medical image classification for rectal cancer stagingCode0
A Capsule Network for Hierarchical Multi-Label Image Classification—0
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationCode1
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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