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 8451–8500 of 10420 papers

TitleStatusHype
AutoGAN: Neural Architecture Search for Generative Adversarial NetworksCode0
Space-time error estimates for deep neural network approximations for differential equations—0
Recent Advances in Deep Learning for Object DetectionCode0
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning—0
Bayesian Inference for Large Scale Image Classification—0
Neural Image Compression and ExplanationCode0
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data—0
Feature selection of neural networks is skewed towards the less abstract cue—0
Progressive Transfer LearningCode0
Deep Self-Learning From Noisy Labels—0
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance PropagationCode0
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning—0
SqueezeNAS: Fast neural architecture search for faster semantic segmentationCode0
MoGA: Searching Beyond MobileNetV3Code0
Attentive NormalizationCode0
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification—0
Kannada-MNIST: A new handwritten digits dataset for the Kannada languageCode0
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network ModelsCode0
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features—0
Quality Assessment of In-the-Wild VideosCode0
Seeing is Not Believing: Camouflage Attacks on Image Scaling AlgorithmsCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
Open Set Domain Adaptation for Image and Action RecognitionCode0
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods—0
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks—0
MoBiNet: A Mobile Binary Network for Image Classification—0
Forced Spatial Attention for Driver Foot Activity ClassificationCode0
Context-Aware Multipath Networks—0
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT—0
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting MethodCode0
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients—0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
A Group-Theoretic Framework for Data AugmentationCode0
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification—0
Trading via Image ClassificationCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
Compact Global Descriptor for Neural NetworksCode0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization—0
Few-shot Learning for Domain-specific Fine-grained Image Classification—0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment—0
mart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks—0
The Effect of Visual Design in Image Classification—0
Image Classification with Hierarchical Multigraph NetworksCode0
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition—0
Subspace Inference for Bayesian Deep LearningCode0
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systemsCode0
Relation Network for Multi-label Aerial Image ClassificationCode0
Discriminative Active LearningCode0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP—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