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 7951–7975 of 10420 papers

TitleStatusHype
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking—0
Self-Attention Capsule Networks for Object Classification—0
Improving Deep Neural Networks with Probabilistic Maxout Units—0
Deep CNNs for large scale species classification—0
Improving Deep Learning through Automatic Programming—0
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks—0
Improving CNN classifiers by estimating test-time priors—0
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets—0
Automatic Script Identification in the Wild—0
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Improving Chest X-Ray Classification by RNN-based Patient Monitoring—0
Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification—0
A Pseudo-labelling Auto-Encoder for unsupervised image classification—0
Deep Boosting: Layered Feature Mining for General Image Classification—0
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations—0
Improved Techniques for Adversarial Discriminative Domain Adaptation—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts—0
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes—0
Adaptive Classification of Interval-Valued Time Series—0
Deep Axial Hypercomplex Networks—0
ResBit: Residual Bit Vector for Categorical Values—0
ResBuilder: Automated Learning of Depth with Residual Structures—0
Improve Unsupervised Domain Adaptation with Mixup Training—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
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