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 3851–3900 of 10420 papers

TitleStatusHype
Towards Physical Plausibility in Neuroevolution SystemsCode0
Dataset Condensation Driven Machine UnlearningCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification—0
Selection of gamma events from IACT images with deep learning methods—0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs—0
Generating Multi-Center Classifier via Conditional Gaussian DistributionCode0
Few and Fewer: Learning Better from Few Examples Using Fewer Base ClassesCode0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy—0
MixMobileNet: A Mixed Mobile Network for Edge Vision Applications—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification—0
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification—0
CNN architecture extraction on edge GPU—0
An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification—0
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning—0
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN—0
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease DetectionCode0
Interpreting Equivariant Representations—0
Medical Image Debiasing by Learning Adaptive Agreement from a Biased CouncilCode0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning—0
Parametric Matrix Models—0
Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection—0
TIM: An Efficient Temporal Interaction Module for Spiking Transformer—0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
One Step Learning, One Step ReviewCode0
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models—0
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer—0
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations—0
Land Cover Image ClassificationCode0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Learn What You Need in Personalized Federated LearningCode0
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone NetworksCode0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?—0
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness—0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
Activations and Gradients Compression for Model-Parallel TrainingCode0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
Knee or ROC—0
A Strong Inductive Bias: Gzip for binary image classification—0
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability—0
Image edge enhancement for effective image classification—0
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification—0
Interpreting and Improving Attention From the Perspective of Large Kernel Convolution—0
Scissorhands: Scrub Data Influence via Connection Sensitivity in NetworksCode0
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification—0
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer—0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning—0
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
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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