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 19511975 of 10420 papers

TitleStatusHype
Rotation Equivariant Graph Convolutional Network for Spherical Image ClassificationCode1
Benchmarking Adversarial Robustness on Image ClassificationCode1
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Stochastic Classifiers for Unsupervised Domain AdaptationCode1
Deep convolutional tensor networkCode1
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
On the Difficulty of Membership Inference AttacksCode1
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference MeasureCode1
Hyperspectral Image Classification with Attention Aided CNNsCode1
From ImageNet to Image Classification: Contextualizing Progress on BenchmarksCode1
Semi-supervised Medical Image Classification with Global Latent MixingCode1
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image ClassificationCode1
On Intrinsic Dataset Properties for Adversarial Machine LearningCode1
Improved Noisy Student Training for Automatic Speech RecognitionCode1
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic ProcessorCode1
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
One-Shot Recognition of Manufacturing Defects in Steel SurfacesCode1
Neural Architecture TransferCode1
A Simple Semi-Supervised Learning Framework for Object DetectionCode1
Noisy Differentiable Architecture SearchCode1
Wavelet Integrated CNNs for Noise-Robust Image ClassificationCode1
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent BackpropagationCode1
A Fast 3D CNN for Hyperspectral Image ClassificationCode1
VGGSound: A Large-scale Audio-Visual DatasetCode1
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified