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

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Showing 9401–9425 of 10420 papers

TitleStatusHype
Neural Network QuineCode0
Averaging Weights Leads to Wider Optima and Better GeneralizationCode1
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image ClassificationCode0
Speech Recognition: Keyword Spotting Through Image Recognition—0
Rethinking Feature Distribution for Loss Functions in Image ClassificationCode0
Transfer Learning with Neural AutoML—0
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
A Non-Technical Survey on Deep Convolutional Neural Network Architectures—0
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network—0
Linking ImageNet WordNet Synsets with Wikidata—0
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning—0
2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks—0
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification—0
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial ExamplesCode0
Not All Samples Are Created Equal: Deep Learning with Importance SamplingCode0
The Alpha-Beta-Symetric Divergence and their Positive Definite Kernel—0
Learning Longer-term Dependencies in RNNs with Auxiliary LossesCode0
HSI-CNN: A Novel Convolution Neural Network for Hyperspectral ImageCode0
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification—0
Memory-based Parameter Adaptation—0
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
Classification of breast cancer histology images using transfer learning—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—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