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 9751–9800 of 10420 papers

TitleStatusHype
Adaptive Class Preserving Representation for Image Classification—0
Fine-Grained Image Classification via Combining Vision and Language—0
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features—0
Fine-Grained Recognition as HSnet Search for Informative Image Parts—0
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
Robust Visual Tracking Using Oblique Random ForestsCode0
Xception: Deep Learning With Depthwise Separable ConvolutionsCode0
Weighted-Entropy-Based Quantization for Deep Neural Networks—0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
Multiple VLAD encoding of CNNs for image classification—0
Image classification using local tensor singular value decompositions—0
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images—0
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning—0
Recurrent Residual Learning for Action Recognition—0
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural NetworksCode0
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks—0
GM-Net: Learning Features with More Efficiency—0
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR ModelsCode0
Place recognition: An Overview of Vision Perspective—0
One Model To Learn Them All—0
Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification—0
Face Clustering: Representation and Pairwise Constraints—0
Hierarchical Gaussian Descriptors with Application to Person Re-Identification—0
Shape-Color Differential Moment Invariants under Affine Transformations—0
Confident Multiple Choice LearningCode0
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters—0
Critical Hyper-Parameters: No Random, No Cry—0
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks—0
Recurrent computations for visual pattern completionCode0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design—0
Deep Convolutional Decision Jungle for Image Classification—0
Discriminative k-shot learning using probabilistic models—0
DiracNets: Training Very Deep Neural Networks Without Skip-ConnectionsCode0
Controllable Invariance through Adversarial Feature Learning—0
Biased Importance Sampling for Deep Neural Network TrainingCode0
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource DataCode0
Robust Tracking Using Region Proposal Networks—0
Deep Learning is Robust to Massive Label Noise—0
Contextual Explanation NetworksCode0
Ensemble of Part Detectors for Simultaneous Classification and Localization—0
Dilated Residual NetworksCode0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network—0
Attention-based Natural Language Person Retrieval—0
Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation—0
Continual Learning with Deep Generative ReplayCode0
Self-supervised learning of visual features through embedding images into text topic spaces—0
Patchnet: Interpretable Neural Networks for Image Classification—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—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