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 19512000 of 10419 papers

TitleStatusHype
Benchmarking Adversarial Robustness on Image ClassificationCode1
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
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
Semi-supervised Medical Image Classification with Global Latent MixingCode1
From ImageNet to Image Classification: Contextualizing Progress on BenchmarksCode1
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
Wavelet Integrated CNNs for Noise-Robust Image ClassificationCode1
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
Noisy Differentiable Architecture SearchCode1
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent BackpropagationCode1
A Fast 3D CNN for Hyperspectral Image ClassificationCode1
WoodFisher: Efficient Second-Order Approximation for Neural Network CompressionCode1
Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet DataCode1
VGGSound: A Large-scale Audio-Visual DatasetCode1
Towards Feature Space Adversarial AttackCode1
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network AttributionCode1
Tensor Networks for Medical Image ClassificationCode1
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationCode1
Local Search is a Remarkably Strong Baseline for Neural Architecture SearchCode1
LSQ+: Improving low-bit quantization through learnable offsets and better initializationCode1
DMT: Dynamic Mutual Training for Semi-Supervised LearningCode1
GEVO: GPU Code Optimization using Evolutionary ComputationCode1
Verification of Deep Convolutional Neural Networks Using ImageStarsCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
Understanding the decisions of CNNs: An in-model approachCode1
Improved Residual Networks for Image and Video RecognitionCode1
Multimodal Categorization of Crisis Events in Social MediaCode1
Network Adjustment: Channel Search Guided by FLOPs Utilization RatioCode1
Evolving Normalization-Activation LayersCode1
ObjectNet Dataset: Reanalysis and CorrectionCode1
Neural Architecture Search for Lightweight Non-Local NetworksCode1
Gradient Centralization: A New Optimization Technique for Deep Neural NetworksCode1
Learning Representations For Images With Hierarchical LabelsCode1
Controllable Orthogonalization in Training DNNsCode1
Hierarchical Image Classification using Entailment Cone EmbeddingsCode1
Editable Neural NetworksCode1
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Regularizing Class-wise Predictions via Self-knowledge DistillationCode1
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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