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 501525 of 10419 papers

TitleStatusHype
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene ClassificationCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
DeepViT: Towards Deeper Vision TransformerCode1
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable PrototypesCode1
DeiT III: Revenge of the ViTCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Delving into Out-of-Distribution Detection with Medical Vision-Language ModelsCode1
3D Human Pose Estimation with Spatial and Temporal TransformersCode1
CLR: Channel-wise Lightweight Reprogramming for Continual LearningCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image ClassificationCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
CLCC: Contrastive Learning for Color ConstancyCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
Layer-adaptive sparsity for the Magnitude-based PruningCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
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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