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 8201–8225 of 10420 papers

TitleStatusHype
Pose Neural Fabrics SearchCode0
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning—0
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks—0
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust—0
A Hybrid Architecture for On-Device Compressive Machine Learning—0
Metric-Based Few-Shot Learning for Video Action Recognition—0
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training—0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation—0
An Empirical Investigation of Randomized Defenses against Adversarial AttacksCode0
Modular Meta-Learning with Shrinkage—0
Differentially Private Meta-Learning—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Learning to predict visual brain activity by predicting future sensory states—0
Deep Elastic Networks with Model Selection for Multi-Task Learning—0
Spatial Graph Convolutional NetworksCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction—0
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification—0
FDA: Feature Disruptive AttackCode0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
DaTscan SPECT Image Classification for Parkinson's Disease—0
Neural Architecture Search in Embedding Space—0
Learning to Sample: an Active Learning Framework—0
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum—0
L_DMI: An Information-theoretic Noise-robust Loss FunctionCode0
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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