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 12011225 of 10420 papers

TitleStatusHype
Augmented Neural ODEsCode1
Augmenting Convolutional networks with attention-based aggregationCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
Capsules with Inverted Dot-Product Attention RoutingCode1
Carrying out CNN Channel Pruning in a White BoxCode1
ExCon: Explanation-driven Supervised Contrastive Learning for Image ClassificationCode1
Dynamic Token Pruning in Plain Vision Transformers for Semantic SegmentationCode1
Masking meets Supervision: A Strong Learning AllianceCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
A Survey on Transferability of Adversarial Examples across Deep Neural NetworksCode1
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual UnderstandingCode1
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
AugNet: End-to-End Unsupervised Visual Representation Learning with Image AugmentationCode1
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial LabelsCode1
Algorithm-hardware Co-design for Deformable ConvolutionCode1
CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image ClassificationCode1
A Unified Algebraic Perspective on Lipschitz Neural NetworksCode1
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image ClassificationCode1
Adapting Grad-CAM for Embedding NetworksCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image ClassificationCode1
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot InteractionCode1
Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features SelectionCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
Dynamic Defense Against Byzantine Poisoning Attacks in Federated LearningCode1
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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