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 3401–3425 of 10420 papers

TitleStatusHype
Unifying Synergies between Self-supervised Learning and Dynamic ComputationCode0
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images—0
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial NetworksCode0
Sanity checks and improvements for patch visualisation in prototype-based image classification—0
AI of Brain and Cognitive Sciences: From the Perspective of First Principles—0
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image ClassificationCode1
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA—0
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
Data-aware customization of activation functions reduces neural network error—0
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification—0
Modeling Uncertain Feature Representation for Domain GeneralizationCode1
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP)—0
Gated Self-supervised Learning For Improving Supervised Learning—0
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
A Scalable Technique for Weak-Supervised Learning with Domain Constraints—0
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks—0
Online Class-Incremental Learning For Real-World Food Image ClassificationCode0
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification TrackCode0
A Stochastic Proximal Polyak Step SizeCode0
Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains—0
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication—0
Deep Axial Hypercomplex Networks—0
Deep Residual Axial Networks—0
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification—0
Show:102550
← PrevPage 137 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