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 6851–6875 of 10420 papers

TitleStatusHype
Fixing the Teacher-Student Knowledge Discrepancy in Distillation—0
Exploiting Invariance in Training Deep Neural NetworksCode0
DAP: Detection-Aware Pre-training with Weak SupervisionCode0
Classifying Video based on Automatic Content Detection Overview—0
Capsule Network is Not More Robust than Convolutional Network—0
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?—0
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models—0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions—0
Explaining Representation by Mutual Information—0
BA^2M: A Batch Aware Attention Module for Image Classification—0
On the benefits of robust models in modulation recognition—0
Going Deeper Into Face Detection: A Survey—0
Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks—0
Unsupervised Robust Domain Adaptation without Source Data—0
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification—0
Understanding Robustness of Transformers for Image Classification—0
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning—0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches—0
ECINN: Efficient Counterfactuals from Invertible Neural NetworksCode0
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation—0
Self-Supervised Training Enhances Online Continual Learning—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality—0
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
Show:102550
← PrevPage 275 of 417Next →
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified