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 1551–1600 of 10419 papers

TitleStatusHype
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
MLP-Mixer: An all-MLP Architecture for VisionCode1
LFI-CAM: Learning Feature Importance for Better Visual ExplanationCode1
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated LearningCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
GeoWINE: Geolocation based Wiki, Image,News and Event RetrievalCode1
Faster Meta Update Strategy for Noise-Robust Deep LearningCode1
Emerging Properties in Self-Supervised Vision TransformersCode1
Ensembling with Deep Generative ViewsCode1
Decoupled Dynamic Filter NetworksCode1
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature FusionCode1
Open-vocabulary Object Detection via Vision and Language Knowledge DistillationCode1
Twins: Revisiting the Design of Spatial Attention in Vision TransformersCode1
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support SamplesCode1
ConTNet: Why not use convolution and transformer at the same time?Code1
Explaining in Style: Training a GAN to explain a classifier in StyleSpaceCode1
Rethinking BiSeNet For Real-time Semantic SegmentationCode1
Vision Transformers with Patch DiversificationCode1
Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature MapsCode1
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification DatasetsCode1
Mutual Contrastive Learning for Visual Representation LearningCode1
Visformer: The Vision-friendly TransformerCode1
Carrying out CNN Channel Pruning in a White BoxCode1
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use caseCode1
Multiscale Vision TransformersCode1
All Tokens Matter: Token Labeling for Training Better Vision TransformersCode1
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and TextCode1
ImageNet-21K Pretraining for the MassesCode1
Gradient Matching for Domain GeneralizationCode1
Differentiable Model Compression via Pseudo Quantization NoiseCode1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?Code1
"BNN - BN = ?": Training Binary Neural Networks without Batch NormalizationCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview CodingCode1
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationCode1
Fast Hierarchical Games for Image ExplanationsCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
LocalViT: Bringing Locality to Vision TransformersCode1
Fruit Quality and Defect Image Classification with Conditional GAN Data AugmentationCode1
Escaping the Big Data Paradigm with Compact TransformersCode1
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
Direct Differentiable Augmentation SearchCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Robust Self-Ensembling Network for Hyperspectral Image ClassificationCode1
Robust Differentiable SVDCode1
Fourier Image TransformerCode1
Beyond Categorical Label Representations for Image ClassificationCode1
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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