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 5476–5500 of 10420 papers

TitleStatusHype
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel—0
A review of Deep learning Techniques for COVID-19 identification on Chest CT images—0
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification—0
Neural Architecture Search on Efficient Transformers and Beyond—0
Pro-tuning: Unified Prompt Tuning for Vision Tasks—0
Multi-layer Representation Learning for Robust OOD Image Classification—0
Adaptive sampling for scanning pixel cameras—0
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors—0
Adaptive occlusion sensitivity analysis for visually explaining video recognition networksCode0
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification—0
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification—0
Dynamic Channel Selection in Self-Supervised LearningCode0
An Encryption Method of ConvMixer Models without Performance Degradation—0
Robust Scene Inference under Noise-Blur Dual Corruptions—0
Spatial-Channel Token Distillation for Vision MLPsCode0
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling—0
Do Perceptually Aligned Gradients Imply Adversarial Robustness?Code0
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation—0
Efficient CNN Architecture Design Guided by VisualizationCode0
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
TinyViT: Fast Pretraining Distillation for Small Vision Transformers—0
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing—0
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning—0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup—0
EASNet: Searching Elastic and Accurate Network Architecture for Stereo MatchingCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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