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 9476–9500 of 10420 papers

TitleStatusHype
Rethinking Feature Distribution for Loss Functions in Image ClassificationCode0
Transfer Learning with Neural AutoML—0
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
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
Linking ImageNet WordNet Synsets with Wikidata—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
Learning Longer-term Dependencies in RNNs with Auxiliary LossesCode0
The Alpha-Beta-Symetric Divergence and their Positive Definite Kernel—0
Memory-based Parameter Adaptation—0
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification—0
HSI-CNN: A Novel Convolution Neural Network for Hyperspectral ImageCode0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Classification of breast cancer histology images using transfer learning—0
Wide Compression: Tensor Ring Nets—0
Convolutional Neural Networks combined with Runge-Kutta MethodsCode0
A Twofold Siamese Network for Real-Time Object TrackingCode0
Deep Multi-View Spatial-Temporal Network for Taxi Demand PredictionCode0
Sensitivity and Generalization in Neural Networks: an Empirical Study—0
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks—0
Learning Image Conditioned Label Space for Multilabel Classification—0
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image ClassificationCode0
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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
10RevCol-HTop 1 Accuracy90—Unverified