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 9401–9450 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
Wide Compression: Tensor Ring Nets—0
A Twofold Siamese Network for Real-Time Object TrackingCode0
Convolutional Neural Networks combined with Runge-Kutta MethodsCode0
Deep Multi-View Spatial-Temporal Network for Taxi Demand PredictionCode0
Sensitivity and Generalization in Neural Networks: an Empirical Study—0
Predicting Natural Hazards with Neuronal Networks—0
Learning Image Conditioned Label Space for Multilabel Classification—0
Discriminative Label Consistent Domain Adaptation—0
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image ClassificationCode0
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks—0
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation—0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Weighted Linear Discriminant Analysis based on Class Saliency Information—0
Structured Label Inference for Visual UnderstandingCode0
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNetCode0
CapsuleGAN: Generative Adversarial Capsule NetworkCode0
ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction—0
Deep Predictive Coding Network for Object Recognition—0
DCFNet: Deep Neural Network with Decomposed Convolutional FiltersCode0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Deep Visual Domain Adaptation: A Survey—0
Combinets: Creativity via Recombination of Neural Networks—0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
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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