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 22012225 of 10420 papers

TitleStatusHype
MobileNetV2: Inverted Residuals and Linear BottlenecksCode1
Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
Decoupled Weight Decay RegularizationCode1
Dynamic Routing Between CapsulesCode1
mixup: Beyond Empirical Risk MinimizationCode1
VisDA: The Visual Domain Adaptation ChallengeCode1
Learning to Generalize: Meta-Learning for Domain GeneralizationCode1
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image MatchingCode1
Reversible Architectures for Arbitrarily Deep Residual Neural NetworksCode1
One-Shot Learning for Semantic SegmentationCode1
Squeeze-and-Excitation NetworksCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Regularizing and Optimizing LSTM Language ModelsCode1
Active Learning for Convolutional Neural Networks: A Core-Set ApproachCode1
Wavelet Convolutional Neural Networks for Texture ClassificationCode1
The iNaturalist Species Classification and Detection DatasetCode1
The Reversible Residual Network: Backpropagation Without Storing ActivationsCode1
Towards Deep Learning Models Resistant to Adversarial AttacksCode1
Deep Complex NetworksCode1
Convolutional Sequence to Sequence LearningCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Decision Stream: Cultivating Deep Decision TreesCode1
Sparse Communication for Distributed Gradient DescentCode1
Multi-Scale Dense Networks for Resource Efficient Image ClassificationCode1
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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