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 19762000 of 10420 papers

TitleStatusHype
WoodFisher: Efficient Second-Order Approximation for Neural Network CompressionCode1
Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet DataCode1
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
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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