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 17511800 of 10419 papers

TitleStatusHype
Robust Instance Segmentation through Reasoning about Multi-Object OcclusionCode1
Task-Oriented Feature DistillationCode1
HRN: A Holistic Approach to One Class LearningCode1
Co-Tuning for Transfer LearningCode1
Auto Learning AttentionCode1
Is normalization indispensable for training deep neural network?Code1
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagationCode1
Disentangling Label Distribution for Long-tailed Visual RecognitionCode1
SuperLoss: A Generic Loss for Robust Curriculum LearningCode1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-trainingCode1
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image ClassificationCode1
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity DiscoveryCode1
General Multi-label Image Classification with TransformersCode1
How Well Do Self-Supervised Models Transfer?Code1
Regularization with Latent Space Virtual Adversarial TrainingCode1
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification ProblemsCode1
Match Them Up: Visually Explainable Few-shot Image ClassificationCode1
Mixture-based Feature Space Learning for Few-shot Image ClassificationCode1
KeepAugment: A Simple Information-Preserving Data Augmentation ApproachCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
Error-Bounded Correction of Noisy LabelsCode1
Geography-Aware Self-Supervised LearningCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive LearningCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
One Explanation is Not Enough: Structured Attention Graphs for Image ClassificationCode1
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationCode1
When Optimizing f-divergence is Robust with Label NoiseCode1
Learning Visual Representations for Transfer Learning by Suppressing TextureCode1
Suppressing Mislabeled Data via Grouping and Self-AttentionCode1
Understanding the Failure Modes of Out-of-Distribution GeneralizationCode1
Permute, Quantize, and Fine-tune: Efficient Compression of Neural NetworksCode1
Image Representations Learned With Unsupervised Pre-Training Contain Human-like BiasesCode1
μNAS: Constrained Neural Architecture Search for MicrocontrollersCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Fusion of Dual Spatial Information for Hyperspectral Image ClassificationCode1
Restoring Negative Information in Few-Shot Object DetectionCode1
Learning Invariances in Neural NetworksCode1
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image TranslationCode1
RobustBench: a standardized adversarial robustness benchmarkCode1
PseudoSeg: Designing Pseudo Labels for Semantic SegmentationCode1
The Deep Bootstrap Framework: Good Online Learners are Good Offline GeneralizersCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnosticsCode1
Layer-adaptive sparsity for the Magnitude-based PruningCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Self-Supervised Domain Adaptation with Consistency TrainingCode1
Open-sourced Dataset Protection via Backdoor WatermarkingCode1
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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