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 2376–2400 of 10420 papers

TitleStatusHype
Distillation from heterogeneous unlabeled collections—0
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification—0
A review of deep learning-based information fusion techniques for multimodal medical image classification—0
A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning—0
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection—0
Communication Efficient SGD via Gradient Sampling With Bayes Prior—0
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
Communication-Efficient Federated Distillation—0
A review: Deep learning for medical image segmentation using multi-modality fusion—0
Communication-Efficient Edge AI: Algorithms and Systems—0
High-performance deep spiking neural networks with 0.3 spikes per neuron—0
AdvJND: Generating Adversarial Examples with Just Noticeable Difference—0
StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos—0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods—0
Communication-Computation Efficient Device-Edge Co-Inference via AutoML—0
Exploring the Interchangeability of CNN Embedding Spaces—0
Committees of deep feedforward networks trained with few data—0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos—0
Distance-based Composable Representations with Neural Networks—0
Comment on "Ensemble Projection for Semi-supervised Image Classification"—0
Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study—0
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks—0
Combining Two Adversarial Attacks Against Person Re-Identification Systems—0
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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