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 7501–7550 of 10420 papers

TitleStatusHype
Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet DataCode1
A Fast 3D CNN for Hyperspectral Image ClassificationCode1
VGGSound: A Large-scale Audio-Visual DatasetCode1
WoodFisher: Efficient Second-Order Approximation for Neural Network CompressionCode1
Deepfake Video Forensics based on Transfer Learning—0
Pseudo Rehearsal using non photo-realistic images—0
Trainable Activation Function in Image Classification—0
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning ArchitecturesCode0
Minority Reports Defense: Defending Against Adversarial Patches—0
Identification of Cervical Pathology using Adversarial Neural Networks—0
Towards Feature Space Adversarial AttackCode1
Hyperspectral Images Classification Based on Multi-scale Residual Network—0
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?—0
RAIN: A Simple Approach for Robust and Accurate Image Classification NetworksCode0
Explicit Domain Adaptation with Loosely Coupled Samples—0
Quantization of Deep Neural Networks for Accumulator-constrained Processors—0
ArchNet: Data Hiding Model in Distributed Machine Learning System—0
Supervised Contrastive LearningCode2
Self-supervised Learning for Astronomical Image Classification—0
Deep Learning Classification With Noisy Labels—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
A review: Deep learning for medical image segmentation using multi-modality fusion—0
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network AttributionCode1
Tensor Networks for Medical Image ClassificationCode1
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning—0
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationCode1
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification—0
Revisiting Initialization of Neural Networks—0
LSQ+: Improving low-bit quantization through learnable offsets and better initializationCode1
Local Search is a Remarkably Strong Baseline for Neural Architecture SearchCode1
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise—0
Superkernel Neural Architecture Search for Image Denoising—0
ktrain: A Low-Code Library for Augmented Machine LearningCode2
ResNeSt: Split-Attention NetworksCode3
Fast Gradient Descent Algorithm for Image Classification with Neural NetworksCode0
DMT: Dynamic Mutual Training for Semi-Supervised LearningCode1
Self-Supervised Representation Learning on Document Images—0
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning—0
Modeling Extent-of-Texture Information for Ground Terrain RecognitionCode0
LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification—0
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural NetworkCode0
GEVO: GPU Code Optimization using Evolutionary ComputationCode1
Explainable Image Classification with Evidence Counterfactual—0
Spatially Attentive Output Layer for Image Classification—0
Divergent Search for Few-Shot Image Classification—0
A Hybrid Method for Training Convolutional Neural Networks—0
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks—0
Stochastic batch size for adaptive regularization in deep network optimization—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