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 3501–3525 of 10420 papers

TitleStatusHype
Embedding Complementary Deep Networks for Image Classification—0
Embedding Deep Networks into Visual Explanations—0
AED: An black-box NLP classifier model attacker—0
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation—0
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization—0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning—0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks—0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision—0
Feedback Control for Online Training of Neural Networks—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision—0
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
An Attention Module for Convolutional Neural Networks—0
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection—0
Feedforward Legendre Memory Unit—0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification—0
Few-shot Algorithm Assurance—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