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 4251–4275 of 10420 papers

TitleStatusHype
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Deep Residual Axial Networks—0
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition—0
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor—0
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment—0
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning—0
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers—0
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes—0
Deep Reinforcement Learning using Capsules in Advanced Game Environments—0
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning—0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images—0
Deep Reinforcement Learning and its Neuroscientific Implications—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
How many classifiers do we need?—0
Deep reinforced active learning for multi-class image classification—0
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning—0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena—0
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed 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
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