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 7701–7725 of 10420 papers

TitleStatusHype
BI-MAML: Balanced Incremental Approach for Meta Learning—0
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networksCode0
AlgebraNetsCode0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
Attentive Feature Reuse for Multi Task Meta learning—0
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks—0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
Convolutional neural networks compression with low rank and sparse tensor decompositions—0
On Mixup RegularizationCode0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
Bombus Species Image Classification—0
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks—0
The Curious Case of Convex Neural Networks—0
Trade-offs between membership privacy & adversarially robust learning—0
Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage—0
Self-Supervised Dynamic Networks for Covariate Shift Robustness—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural NetworksCode0
Discovering Parametric Activation Functions—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Content and Context Features for Scene Image Representation—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
10RevCol-HTop 1 Accuracy90—Unverified