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 9026–9050 of 10420 papers

TitleStatusHype
Piecewise Strong Convexity of Neural Networks—0
Recurrent Attention Unit—0
DropBlock: A regularization method for convolutional networksCode0
Learning to Teach with Dynamic Loss Functions—0
Learning and Interpreting Multi-Multi-Instance Learning Networks—0
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication—0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning—0
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model—0
On the Confidence of Neural Network Predictions for some NLP Tasks—0
Deep multi-survey classification of variable stars—0
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification—0
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification—0
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference—0
KTAN: Knowledge Transfer Adversarial Network—0
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers—0
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural NetworksCode0
Shallow-Deep Networks: Understanding and Mitigating Network OverthinkingCode1
Compressively Sensed Image Recognition—0
Super Characters: A Conversion from Sentiment Classification to Image Classification—0
Uncertainty in Neural Networks: Approximately Bayesian EnsemblingCode0
Effects of Image Degradations to CNN-based Image Classification—0
Does Haze Removal Help CNN-based Image Classification?—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