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 8101–8125 of 10420 papers

TitleStatusHype
SELF: Learning to Filter Noisy Labels with Self-Ensembling—0
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image ClassificationCode0
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour—0
BUZz: BUffer Zones for defending adversarial examples in image classification—0
Generalization Bounds for Convolutional Neural Networks—0
An empirical study of pretrained representations for few-shot classification—0
A General Upper Bound for Unsupervised Domain Adaptation—0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
Contextual Local Explanation for Black Box Classifiers—0
W-Net: A CNN-based Architecture for White Blood Cells Image ClassificationCode0
Adversarially Robust Few-Shot Learning: A Meta-Learning ApproachCode0
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time SystemsCode1
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision—0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification—0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos—0
Global Feature Guided Local Pooling—0
Siamese Networks: The Tale of Two Manifolds—0
Scalable Verified Training for Provably Robust Image Classification—0
A Large-scale Study of Representation Learning with the Visual Task Adaptation BenchmarkCode0
Addressing Failure Prediction by Learning Model ConfidenceCode1
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence—0
Distilling Effective Supervision from Severe Label NoiseCode0
SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumCode0
Augmenting learning using symmetry in a biologically-inspired domain—0
Show:102550
← PrevPage 325 of 417Next →
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified