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 3251–3275 of 10420 papers

TitleStatusHype
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems—0
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks—0
DropKey—0
DropKey for Vision Transformer—0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy—0
Extreme Network Compression via Filter Group Approximation—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dropout with Expectation-linear Regularization—0
Boldness-Recalibration for Binary Event Predictions—0
Diffusion models applied to skin and oral cancer classification—0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
An Effective Fusion Method to Enhance the Robustness of CNN—0
Exploring the cloud of feature interaction scores in a Rashomon set—0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification—0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
Bit-aware Randomized Response for Local Differential Privacy in Federated Learning—0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization—0
An Effective Anti-Aliasing Approach for Residual Networks—0
Dual adaptive training of photonic neural networks—0
Additive Quantization for Extreme Vector Compression—0
Exploring the Deep Feature Space of a Cell Classification Neural Network—0
Difficulty in estimating visual information from randomly sampled images—0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures—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