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 9251–9275 of 10420 papers

TitleStatusHype
MaskConnect: Connectivity Learning by Gradient Descent—0
Influence of Image Classification Accuracy on Saliency Map EstimationCode0
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
Effects of Degradations on Deep Neural Network ArchitecturesCode0
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization—0
How good is my GAN?—0
Residual Network based Aggregation Model for Skin Lesion Classification—0
Self-Paced Learning with Adaptive Deep Visual EmbeddingsCode0
Recent Advances in Convolutional Neural Network Acceleration—0
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene RecognitionCode0
Wide Contextual Residual Network with Active Learning for Remote Sensing Image ClassificationCode0
Spatial Correlation and Value Prediction in Convolutional Neural Networks—0
Multiple Convolutional Neural Network for Skin Dermoscopic Image Classification—0
Explaining Image Classifiers by Counterfactual GenerationCode0
Capsule Networks against Medical Imaging Data ChallengesCode0
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained RecoveryCode0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem—0
CBAM: Convolutional Block Attention ModuleCode0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Maximizing Invariant Data Perturbation with Stochastic OptimizationCode0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations—0
Two-Layer Mixture Network Ensemble for Apparel Attributes 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
10RevCol-HTop 1 Accuracy90—Unverified