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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4851–4900 of 10420 papers

TitleStatusHype
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks—0
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network—0
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images—0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks—0
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network—0
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion—0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
Hyperspectral image classification using spectral-spatial LSTMs—0
Human Action Recognition in Still Images Using ConViT—0
Data Augmentation for Image Classification using Generative AI—0
AugOp: Inject Transformation into Neural Operator—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network—0
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance—0
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron—0
Data Augmentation in Training CNNs: Injecting Noise to Images—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—0
Hyperspherical embedding for novel class classification—0
Hyperspherical Loss-Aware Ternary Quantization—0
HyperSTAR: Task-Aware Hyperparameters for Deep Networks—0
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems—0
Data Augmentation Vision Transformer for Fine-grained Image Classification—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Initializing Perturbations in Multiple Directions for Fast Adversarial Training—0
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification—0
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories—0
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification—0
Inspect Transfer Learning Architecture with Dilated Convolution—0
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning—0
HQViT: Hybrid Quantum Vision Transformer for Image Classification—0
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
Data Consistency for Weakly Supervised Learning—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification—0
Augmentation Policy Generation for Image Classification Using Large Language Models—0
I-CNet: Leveraging Involution and Convolution for Image Classification—0
Informed Non-convex Robust Principal Component Analysis with Features—0
In-Hindsight Quantization Range Estimation for Quantized Training—0
Show:102550
← PrevPage 98 of 209Next →
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