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 841850 of 10420 papers

TitleStatusHype
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
Adaptive and Background-Aware Vision Transformer for Real-Time UAV TrackingCode1
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationCode1
Advancing Vision Transformers with Group-Mix AttentionCode1
Fast Hierarchical Games for Image ExplanationsCode1
Advantages and Bottlenecks of Quantum Machine Learning for Remote SensingCode1
Class Adaptive Network CalibrationCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
DeepViT: Towards Deeper Vision TransformerCode1
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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