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 9701–9750 of 10420 papers

TitleStatusHype
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics—0
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile DevicesCode0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Dual Supervised Learning—0
Fine-Grained Image Classification via Combining Vision and Language—0
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features—0
Adaptive Class Preserving Representation for Image Classification—0
Fine-Grained Recognition as HSnet Search for Informative Image Parts—0
Robust Visual Tracking Using Oblique Random ForestsCode0
Weighted-Entropy-Based Quantization for Deep Neural Networks—0
Xception: Deep Learning With Depthwise Separable ConvolutionsCode0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network—0
A Network Framework for Noisy Label Aggregation in Social Media—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
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
Towards Deep Learning Models Resistant to Adversarial AttacksCode1
Place recognition: An Overview of Vision Perspective—0
One Model To Learn Them All—0
Face Clustering: Representation and Pairwise Constraints—0
Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification—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
Biased Importance Sampling for Deep Neural Network TrainingCode0
Controllable Invariance through Adversarial Feature Learning—0
Robust Tracking Using Region Proposal Networks—0
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource DataCode0
Deep Learning is Robust to Massive Label Noise—0
Ensemble of Part Detectors for Simultaneous Classification and Localization—0
Contextual Explanation NetworksCode0
Dilated Residual NetworksCode0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
Deep Complex NetworksCode1
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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