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

Showing 93769400 of 10420 papers

TitleStatusHype
Hierarchical Transfer Convolutional Neural Networks for Image Classification0
ClickBAIT-v2: Training an Object Detector in Real-Time0
Fast Parametric Learning with Activation Memorization0
Recent Developments from Attribute Profiles for Remote Sensing Image Classification0
Canonical Correlation Analysis of Datasets with a Common Source Graph0
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning AccuracyCode0
Multi-scale Processing of Noisy Images using Edge Preservation LossesCode0
Quantum Entanglement in Deep Learning Architectures0
BAGAN: Data Augmentation with Balancing GANCode1
Lifting Layers: Analysis and ApplicationsCode0
Detecting Adversarial Perturbations with Saliency0
Learning Deep Context-Network Architectures for Image Annotation0
Context Encoding for Semantic SegmentationCode2
Entrenamiento de una red neuronal para el reconocimiento de imagenes de lengua de senas capturadas con sensores de profundidad0
A Quantization-Friendly Separable Convolution for MobileNetsCode0
What do Deep Networks Like to See?Code0
MLtuner: System Support for Automatic Machine Learning TuningCode0
A Neural Markovian Multiresolution Image Labeling Algorithm0
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset0
D^2: Decentralized Training over Decentralized Data0
Improving Transferability of Adversarial Examples with Input DiversityCode0
Fast Neural Architecture Construction using EnvelopeNets0
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification0
TBD: Benchmarking and Analyzing Deep Neural Network Training0
Studying Invariances of Trained Convolutional Neural Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified