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 3776–3800 of 10420 papers

TitleStatusHype
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation—0
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task modelsCode1
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability—0
On effects of Knowledge Distillation on Transfer Learning—0
2nd Place Solution to Google Universal Image EmbeddingCode1
Signal Processing for Implicit Neural Representations—0
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated LearningCode0
Scaling & Shifting Your Features: A New Baseline for Efficient Model TuningCode1
Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence ModelsCode0
Bootstrapping the Relationship Between Images and Their Clean and Noisy LabelsCode0
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive LearningCode1
Packed-Ensembles for Efficient Uncertainty Estimation—0
Self-Supervised Learning Through Efference CopiesCode0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
Explaining Image Classification with Visual DebatesCode0
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak LabelsCode0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation—0
Compressive Image Classification using Deterministic Sensing Matrices—0
POGD: Gradient Descent with New Stochastic Rules—0
Attention Regularized Laplace Graph for Domain Adaptation—0
Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability—0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models—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