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 3976–4000 of 10420 papers

TitleStatusHype
Design-time Fashion Popularity Forecasting in VR Environments—0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Are Visual Recognition Models Robust to Image Compression?—0
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions—0
Adaptive Test-Time Augmentation for Low-Power CPU—0
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence—0
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking—0
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Analyzing the Dependency of ConvNets on Spatial Information—0
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run—0
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning—0
Comparing concepts of quantum and classical neural network models for image classification task—0
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network—0
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations—0
Adaptive Temperature Scaling with Conformal Prediction—0
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation—0
Analyzing Images for Music Recommendation—0
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images—0
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification—0
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules—0
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models—0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Goal-driven text descriptions for images—0
Show:102550
← PrevPage 160 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
10RevCol-HTop 1 Accuracy90—Unverified