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 33513375 of 10420 papers

TitleStatusHype
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
Adaptive Learning Rate and Momentum for Training Deep Neural NetworksCode0
Balanced Binary Neural Networks with Gated ResidualCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Neural networks with late-phase weightsCode0
Improving Fairness in Image Classification via SketchingCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessCode0
Bag of Tricks for Retail Product Image ClassificationCode0
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)Code0
Deep learning in a bilateral brain with hemispheric specializationCode0
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical ValidationCode0
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric EstimationCode0
Edge-labeling Graph Neural Network for Few-shot LearningCode0
Improving Confident-Classifiers For Out-of-distribution DetectionCode0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
Privacy-Aware Lifelong LearningCode0
BagFlip: A Certified Defense against Data PoisoningCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Neural Edge Histogram Descriptors for Underwater Acoustic Target RecognitionCode0
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function OptimizationCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
Deep Learning for Identifying Metastatic Breast CancerCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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