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 8201–8250 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
Exploring Temporal Differences in 3D Convolutional Neural Networks—0
A Baseline for Few-Shot Image ClassificationCode0
Linear Context Transform Block—0
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations—0
Training Deep Neural Networks Using Posit Number System—0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
LIT: Learned Intermediate Representation Training for Model CompressionCode0
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications—0
Quasi-Newton Optimization Methods For Deep Learning Applications—0
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning—0
Illuminated Decision Trees with Lucid—0
STaDA: Style Transfer as Data Augmentation—0
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets—0
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learningCode0
Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization—0
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training AcceleratorsCode0
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques—0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
Learning Continually from Low-shot Data Stream—0
Unsupervised Deep Feature Transfer for Low Resolution Image Classification—0
Gated Convolutional Networks with Hybrid Connectivity for Image ClassificationCode0
A Convolutional Neural Network with Mapping Layers for Hyperspectral Image 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
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