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 4576–4600 of 10420 papers

TitleStatusHype
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets—0
Automatic Script Identification in the Wild—0
Imbalanced Malware Images Classification: a CNN based Approach—0
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts—0
Deep Boosting: Layered Feature Mining for General Image Classification—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Adaptive Classification of Interval-Valued Time Series—0
StackMix: A complementary Mix algorithm—0
Deep Axial Hypercomplex Networks—0
Deep Autoencoder Model Construction Based on Pytorch—0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment—0
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities—0
Between Progress and Potential Impact of AI: the Neglected Dimensions—0
Deep Attributes from Context-Aware Regional Neural Codes—0
Automatic estimation of heading date of paddy rice using deep learning—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning—0
DeepAGREL: Biologically plausible deep learning via direct reinforcement—0
Imaging with Equivariant Deep Learning—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—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