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

Showing 1015110175 of 10420 papers

TitleStatusHype
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scaleCode0
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image ClassificationCode0
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable ProjectionCode0
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured DataCode0
Searching for Activation FunctionsCode0
TransBoost: Improving the Best ImageNet Performance using Deep TransductionCode0
Temporal Convolutional Neural Network for the Classification of Satellite Image Time SeriesCode0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
Decomposable-Net: Scalable Low-Rank Compression for Neural NetworksCode0
Semi-supervised Learning using Robust LossCode0
Teacher Network Calibration Improves Cross-Quality Knowledge DistillationCode0
Teacher-Class Network: A Neural Network Compression MechanismCode0
Wasserstein Distance Guided Representation Learning for Domain AdaptationCode0
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle librariesCode0
Scratch that! An Evolution-based Adversarial Attack against Neural NetworksCode0
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain AdaptationCode0
Using mixup as regularization and tuning hyper-parameters for ResNetsCode0
Transferable Candidate Proposal with Bounded UncertaintyCode0
Scalable Bayesian Optimization Using Deep Neural NetworksCode0
T-BFA: Targeted Bit-Flip Adversarial Weight AttackCode0
When Vision Transformers Outperform ResNets without Pre-training or Strong Data AugmentationsCode0
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster ImagesCode0
Semi-Supervised Few-Shot Learning via Multi-Factor ClusteringCode0
Transfer Learning based Detection of Diabetic Retinopathy from Small DatasetCode0
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified