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 8301–8350 of 10420 papers

TitleStatusHype
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification—0
Attentive NormalizationCode0
MoGA: Searching Beyond MobileNetV3Code0
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
Seeing is Not Believing: Camouflage Attacks on Image Scaling AlgorithmsCode0
Quality Assessment of In-the-Wild VideosCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
Incremental Learning Techniques for Semantic SegmentationCode1
Grid Saliency for Context Explanations of Semantic SegmentationCode1
Open Set Domain Adaptation for Image and Action RecognitionCode0
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods—0
MoBiNet: A Mobile Binary Network for Image Classification—0
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks—0
Forced Spatial Attention for Driver Foot Activity ClassificationCode0
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting MethodCode0
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT—0
Context-Aware Multipath Networks—0
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients—0
A Group-Theoretic Framework for Data AugmentationCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
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
Few-shot Learning for Domain-specific Fine-grained Image Classification—0
Compact Global Descriptor for Neural NetworksCode0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization—0
mart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks—0
MixConv: Mixed Depthwise Convolutional KernelsCode1
The Effect of Visual Design in Image Classification—0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment—0
Image Classification with Hierarchical Multigraph NetworksCode0
Lookahead Optimizer: k steps forward, 1 step backCode1
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
Batch-Shaping for Learning Conditional Channel Gated NetworksCode0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP—0
Discriminative Active LearningCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN—0
Sparse Networks from Scratch: Faster Training without Losing PerformanceCode1
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving—0
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection—0
Introduction to Camera Pose Estimation with Deep Learning—0
Revisiting Metric Learning for Few-Shot Image Classification—0
Towards Debugging Deep Neural Networks by Generating Speech UtterancesCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified